2017
Alexander Oliver
Mader,
Cristian
Lorenz,
Martin
Bergtholdt,
Jens
Berg,
Hauke
Schramm,
Jan
Modersitzki, and
Carsten
Meyer,
Detection and Localization of Landmarks in the Lower Extremities Using an Automatically Learned Conditional Random Field, in Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics , Springer, 2017, pp. 64--75.
Detection and Localization of Landmarks in the Lower Extremities Using an Automatically Learned Conditional Random Field, in Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics , Springer, 2017, pp. 64--75.
Lars
Ruthotto,
Chen
Greif, and
Jan
Modersitzki,
A stabilized multigrid solver for hyperelastic image registration, Numerical Linear Algebra with Applications , vol. 24, no. 5, pp. e2095, 2017. Wiley Online Library.
A stabilized multigrid solver for hyperelastic image registration, Numerical Linear Algebra with Applications , vol. 24, no. 5, pp. e2095, 2017. Wiley Online Library.
Caterina
Rust,
Stephanie
Häger,
Nadine
Traulsen, and
Jan
Modersitzki,
A robust algorithm for optic disc segmentation and fovea detection in retinal fundus images, Current Directions in Biomedical Engineering , vol. 3, no. 2, pp. 533--537, 2017. De Gruyter.
A robust algorithm for optic disc segmentation and fovea detection in retinal fundus images, Current Directions in Biomedical Engineering , vol. 3, no. 2, pp. 533--537, 2017. De Gruyter.
Jan
Rühaak,
Lars
König,
Florian
Tramnitzke,
Harald
Köstler, and
Jan
Modersitzki,
A Matrix-Free Approach to Efficient Affine-Linear Image Registration on CPU and GPU, Journal of Real-Time Image Processing , vol. 13, no. 1, pp. 205--225, 2017. Springer.
A Matrix-Free Approach to Efficient Affine-Linear Image Registration on CPU and GPU, Journal of Real-Time Image Processing , vol. 13, no. 1, pp. 205--225, 2017. Springer.
File: | ruhaak2016matrix.pdf |
Bibtex: | @ARTICLE{ruhaak2017matrix, author = {R\"{u}haak, Jan and K\"{o}nig, Lars and Tramnitzke, Florian and K\"{o}stler, Harald and Modersitzki, Jan}, title = {A {M}atrix-{F}ree {A}pproach to {E}fficient {A}ffine-{L}inear {I}mage {R}egistration on {CPU} and {GPU}}, journal = {{J}ournal of {R}eal-{T}ime {I}mage {P}rocessing}, year = {2017}, volume = {13}, number = {1}, pages = {205--225}, issn = {1861-8219}, publisher = {Springer}, url = {http://dx.doi.org/10.1007/s11554-016-0564-4} } |
2016
Kristin
Stützer,
Robert
Haase,
Fabian
Lohaus,
Steffen
Barczyk,
Florian
Exner,
Steffen
Löck,
Jan
Rühaak,
Bianca
Lassen-Schmidt,
Dörte
Corr, and
Christian
Richter,
Evaluation of a deformable registration algorithm for subsequent lung computed tomography imaging during radiochemotherapy, Medical Physics , vol. 43, no. 9, pp. 5028--5039, 2016. Wiley Online Library.
Evaluation of a deformable registration algorithm for subsequent lung computed tomography imaging during radiochemotherapy, Medical Physics , vol. 43, no. 9, pp. 5028--5039, 2016. Wiley Online Library.
T.
Möllenhoff,
E.
Laude,
M.
Möller,
J.
Lellmann, and
D.
Cremers,
Sublabel-Accurate Relaxation of Nonconvex Energies, in Proc. IEEE Conf. Comp. Vis. Patt. Recogn. , 2016.
Sublabel-Accurate Relaxation of Nonconvex Energies, in Proc. IEEE Conf. Comp. Vis. Patt. Recogn. , 2016.
E.
Laude,
T.
Möllenhoff,
M.
Möller,
J
Lellmann, and
D.
Cremers,
Sublabel-Accurate Convex Relaxation of Vectorial Multilabel Energies, in Proc. Europ. Conf. Comp. Vision , 2016.
Sublabel-Accurate Convex Relaxation of Vectorial Multilabel Energies, in Proc. Europ. Conf. Comp. Vision , 2016.
J.
Lee,
X.
Cai,
J.
Lellmann,
M.
Dalponte,
Y.
Malhi,
N.
Butt,
M.
Morecroft,
C.-B.
Schönlieb, and
D.
Coomes,
Individual Tree Species Classification From Airborne Multisensor Imagery Using Robust {PCA}, Appl. Earth Obs. Remote Sensing , 2016.
Individual Tree Species Classification From Airborne Multisensor Imagery Using Robust {PCA}, Appl. Earth Obs. Remote Sensing , 2016.
A
Derksen,
L
König,
H
Meine, and
S
Heldmann,
A Joint Registration and Segmentation Approach for Large Bladder Deformations in Adaptive Radiotherapy, Medical Physics: Proceedings of the AAPM 58th annual meeting, Washington, DC , vol. 43, no. 6, pp. 3429--3429, 2016. American Association of Physicists in Medicine.
A Joint Registration and Segmentation Approach for Large Bladder Deformations in Adaptive Radiotherapy, Medical Physics: Proceedings of the AAPM 58th annual meeting, Washington, DC , vol. 43, no. 6, pp. 3429--3429, 2016. American Association of Physicists in Medicine.
DOI: | 10.1118/1.4956005 |
Bibtex: | @article{derksen2016joint, title={A Joint Registration and Segmentation Approach for Large Bladder Deformations in Adaptive Radiotherapy}, author={Derksen, A and König, L and Meine, H and Heldmann, S}, journal={Medical Physics: Proceedings of the AAPM 58th annual meeting, Washington, DC}, volume={43}, number={6}, pages={3429--3429}, year={2016}, doi={10.1118/1.4956005}, publisher={American Association of Physicists in Medicine} } |
Lars
König,
Alexander
Derksen,
Nils
Papenberg, and
Benjamin
Haas,
Deformable image registration for adaptive radiotherapy with guaranteed local rigidity constraints, Radiation Oncology , vol. 11, no. 1, pp. 122, 2016. BioMed Central.
Deformable image registration for adaptive radiotherapy with guaranteed local rigidity constraints, Radiation Oncology , vol. 11, no. 1, pp. 122, 2016. BioMed Central.
DOI: | 10.1186/s13014-016-0697-4 |
File: | konig2016deformable_01.pdf |
Bibtex: | @article{konig2016deformable, title={Deformable image registration for adaptive radiotherapy with guaranteed local rigidity constraints}, author={K{\"o}nig, Lars and Derksen, Alexander and Papenberg, Nils and Haas, Benjamin}, journal={Radiation Oncology}, volume={11}, number={1}, pages={122}, year={2016}, publisher={BioMed Central}, doi={10.1186/s13014-016-0697-4} } |
A
Derksen,
L
König, and
H
Meine,
An Alternating Image Registration Approach for Large Scale Bladder Deformations in Radiation Therapy, 18th International Conference on the use of Computers in Radiation Therapy (ICCR), London , 2016.
An Alternating Image Registration Approach for Large Scale Bladder Deformations in Radiation Therapy, 18th International Conference on the use of Computers in Radiation Therapy (ICCR), London , 2016.
File: | O70_Derksen.pdf |
Bibtex: | @article{derksen2016alternating, title={An Alternating Image Registration Approach for Large Scale Bladder Deformations in Radiation Therapy}, author={Derksen, A and König, L and Meine, H}, journal={18th International Conference on the use of Computers in Radiation Therapy (ICCR), London}, year={2016}, } |
Constantin
Sandmann,
Erlend
Hodneland, and
Jan
Modersitzki,
A practical guideline for T1 reconstruction from various flip angles in MRI, Journal of Algorithms \& Computational Technology , vol. 10, no. 4, pp. 213-223, 2016.
A practical guideline for T1 reconstruction from various flip angles in MRI, Journal of Algorithms \& Computational Technology , vol. 10, no. 4, pp. 213-223, 2016.
File: | 1748301816656288 |
Bibtex: | @article{SandmannEtAl2016, author = {Constantin Sandmann and Erlend Hodneland and Jan Modersitzki}, title = {A practical guideline for T1 reconstruction from various flip angles in MRI}, journal = {Journal of Algorithms \& Computational Technology}, volume = {10}, number = {4}, pages = {213-223}, year = {2016}, URL = {http://dx.doi.org/10.1177/1748301816656288}, abstract = { A fast and robust method for T1 estimation in MRI is the so-called variable flip angle technique. We introduce a novel family of T1 reconstruction methods from data acquired with various flip angles and propose a family member which combines the robustness of a nonlinear- with the computational advantages of a linear reconstruction. The constructed family contains the most common approaches for T1 estimation, namely a linear and a nonlinear approach. A general sensitivity analysis for arbitrary members of the family is established. Advantages of the optimized reconstruction are demonstrated on phantom- as well as real data, showing improvements of up to 24\% as compared with the linear method. As a further means to stabilize T1 estimation, spatial stabilization methods are compared. We demonstrate on phantom and on real data that improved results can be obtained if not only T1 but also a second unknown M0 in the reconstruction is stabilized. } } |
Thomas
Polzin,
Marc
Niethammer,
Mattias Paul
Heinrich,
Heinz
Handels, and
Jan
Modersitzki,
{Memory Efficient LDDMM for Lung CT}, in Medical Image Computing and Computer-Assisted Intervention 2016 , Sebastién Ourselin and Leo Joskowicz and Mert R. Sabuncu and Gozde Unal and William Wells, Eds. Springer, 2016. pp. 28--36.
{Memory Efficient LDDMM for Lung CT}, in Medical Image Computing and Computer-Assisted Intervention 2016 , Sebastién Ourselin and Leo Joskowicz and Mert R. Sabuncu and Gozde Unal and William Wells, Eds. Springer, 2016. pp. 28--36.
File: | PolzinEtAl_MICCAI2016_MemoryEfficientLDDMMForLungCT.pdf |
Bibtex: | @INPROCEEDINGS{PolzinEtAl2016, author = {Polzin, Thomas and Niethammer, Marc and Heinrich, Mattias Paul and Handels, Heinz and Modersitzki, Jan}, title = {{Memory Efficient LDDMM for Lung CT}}, booktitle = {Medical Image Computing and Computer-Assisted Intervention 2016}, pages = {28--36}, year = {2016}, publisher = {Springer}, editor = {Sebastién Ourselin and Leo Joskowicz and Mert R. Sabuncu and Gozde Unal and William Wells} } |
Judith M.
Lotz,
Franziska
Hoffmann,
Johannes
Lotz,
Stefan
Heldmann,
Dennis
Trede,
Janina
Oetjen,
Michael
Becker,
G{ü}nther
Ernst,
Peter
Maas,
Theodore
Alexandrov,
Orlando
Guntinas-Lichius,
Herbert
Thiele, and
Ferdinand
Eggeling,
{Integration of 3D multimodal imaging data of a head and neck cancer and advanced feature recognition}, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics , 2016. Elsevier B.V..
{Integration of 3D multimodal imaging data of a head and neck cancer and advanced feature recognition}, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics , 2016. Elsevier B.V..
DOI: | 10.1016/j.bbapap.2016.08.018 |
Bibtex: | @article{Lotz2016Integration, abstract = {In the last years, matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI MSI) became an imaging technique which has the potential to characterize complex tumor tissue. The combination with other modalities and with standard histology techniques was achieved by the use of image registration methods and enhances analysis possibilities. We analyzed an oral squamous cell carcinoma with up to 162 consecutive sections with MALDI MSI, hematoxylin and eosin (H{\&}E) staining and immunohistochemistry (IHC) against CD31. Spatial segmentation maps of the MALDI MSI data were generated by similarity-based clustering of spectra. Next, the maps were overlaid with the H{\&}E microscopy images and the results were interpreted by an experienced pathologist. Image registration was used to fuse both modalities and to build a three-dimensional (3D) model. To visualize structures below resolution of MALDI MSI, IHC was carried out for CD31 and results were embedded additionally. The integration of 3D MALDI MSI data with H{\&}E and IHC images allows a correlation between histological and molecular information leading to a better understanding of the functional heterogeneity of tumors. This article is part of a Special Issue entitled: MALDI Imaging, edited by Dr. Corinna Henkel and Prof. Peter Hoffmann.}, author = {Lotz, Judith M. and Hoffmann, Franziska and Lotz, Johannes and Heldmann, Stefan and Trede, Dennis and Oetjen, Janina and Becker, Michael and Ernst, G{\"{u}}nther and Maas, Peter and Alexandrov, Theodore and Guntinas-Lichius, Orlando and Thiele, Herbert and von Eggeling, Ferdinand}, doi = {10.1016/j.bbapap.2016.08.018}, issn = {15709639}, journal = {Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics}, keywords = {3D,Head and Neck Cancer,MALDI imaging,OSCC,image registration,immunohistochemistry,multimodality}, pmid = {27594533}, publisher = {Elsevier B.V.}, title = {{Integration of 3D multimodal imaging data of a head and neck cancer and advanced feature recognition}}, year = {2016} } |
2015
Kanglin
Chen,
Alexander
Derksen,
Stefan
Heldmann,
Marc
Hallmann, and
Benjamin
Berkels,
Deformable Image Registration with Automatic Non-Correspondence Detection, in Scale Space and Variational Methods in Computer Vision: 5th International Conference, SSVM 2015, L{\`e}ge-Cap Ferret, France, May 31 - June 4, 2015, Proceedings , Aujol, Jean-Fran{\c{c}}ois and Nikolova, Mila and Papadakis, Nicolas, Eds. Cham: Springer International Publishing, 2015. pp. 360--371.
Deformable Image Registration with Automatic Non-Correspondence Detection, in Scale Space and Variational Methods in Computer Vision: 5th International Conference, SSVM 2015, L{\`e}ge-Cap Ferret, France, May 31 - June 4, 2015, Proceedings , Aujol, Jean-Fran{\c{c}}ois and Nikolova, Mila and Papadakis, Nicolas, Eds. Cham: Springer International Publishing, 2015. pp. 360--371.
DOI: | 10.1007/978-3-319-18461-6_29 |
ISBN: | 978-3-319-18461-6 |
File: | 978-3-319-18461-6_29 |
Bibtex: | @inproceedings{Chen2015Deformable, title={Deformable Image Registration with Automatic Non-Correspondence Detection}, author={Chen, Kanglin and Derksen, Alexander and Heldmann, Stefan and Hallmann, Marc and Berkels, Benjamin}, editor={Aujol, Jean-Fran{\c{c}}ois and Nikolova, Mila and Papadakis, Nicolas}, booktitle={Scale Space and Variational Methods in Computer Vision: 5th International Conference, SSVM 2015, L{\`e}ge-Cap Ferret, France, May 31 - June 4, 2015, Proceedings}, year={2015}, publisher={Springer International Publishing}, address={Cham}, pages={360--371}, isbn={978-3-319-18461-6}, doi={10.1007/978-3-319-18461-6_29}, url={http://dx.doi.org/10.1007/978-3-319-18461-6_29} } |
V De
Luca,
T
Benz,
S
Kondo,
L
König,
D
Lübke,
S
Rothlübbers,
O
Somphone,
S
Allaire,
M A Lediju
Bell,
D Y F
Chung,
A
Cifor,
C
Grozea,
M
Günther,
J
Jenne,
T
Kipshagen,
M
Kowarschik,
N
Navab,
J
Rühaak,
J
Schwaab, and
C
Tanner,
The 2014 liver ultrasound tracking benchmark, Physics in Medicine and Biology , vol. 60, no. 14, pp. 5571, 2015.
The 2014 liver ultrasound tracking benchmark, Physics in Medicine and Biology , vol. 60, no. 14, pp. 5571, 2015.
File: | 5571 |
Bibtex: | @article{deluca2015the, author={V De Luca and T Benz and S Kondo and L König and D Lübke and S Rothlübbers and O Somphone and S Allaire and M A Lediju Bell and D Y F Chung and A Cifor and C Grozea and M Günther and J Jenne and T Kipshagen and M Kowarschik and N Navab and J Rühaak and J Schwaab and C Tanner}, title={The 2014 liver ultrasound tracking benchmark}, journal={Physics in Medicine and Biology}, volume={60}, number={14}, pages={5571}, url={http://dx.doi.org/10.1088/0031-9155/60/14/5571}, year={2015} } |
Esther
Pompe,
Eva M
Rikxoort,
Michael
Schmidt,
Jan
Rühaak,
Leticia Gallardo
Estrella,
Rozemarijn
Vliegenthart,
Matthijs
Oudkerk,
Harry J
Koning,
Bram
Ginneken,
Pim A
Jong,
Jan-Willem J
Lammers, and
Firdaus A A Mohamed
Hoesein,
Parametric Response Mapping Adds Value to Current Computed Tomography Biomarkers in Diagnosing Chronic Obstructive Pulmonary Disease, American {J}ournal of {R}espiratory and {C}ritical {C}are {M}edicine , vol. 191, no. 9, pp. 1084--1086, 2015. Am Thoracic Soc.
Parametric Response Mapping Adds Value to Current Computed Tomography Biomarkers in Diagnosing Chronic Obstructive Pulmonary Disease, American {J}ournal of {R}espiratory and {C}ritical {C}are {M}edicine , vol. 191, no. 9, pp. 1084--1086, 2015. Am Thoracic Soc.
File: | rccm.201411-2105LE |
Bibtex: | @article{pompe2015parametric, title={Parametric Response Mapping Adds Value to Current Computed Tomography Biomarkers in Diagnosing Chronic Obstructive Pulmonary Disease}, author={Pompe, Esther and van Rikxoort, Eva M and Schmidt, Michael and R{\"u}haak, Jan and Estrella, Leticia Gallardo and Vliegenthart, Rozemarijn and Oudkerk, Matthijs and de Koning, Harry J and van Ginneken, Bram and de Jong, Pim A and Lammers, Jan-Willem J and Hoesein, Firdaus A A Mohamed}, journal={American {J}ournal of {R}espiratory and {C}ritical {C}are {M}edicine}, volume={191}, number={9}, pages={1084--1086}, year={2015}, url={http://www.atsjournals.org/doi/abs/10.1164/rccm.201411-2105LE#.VebzExG8PRY}, publisher={Am Thoracic Soc} } |
Lars
König,
Alexander
Derksen,
Marc
Hallmann, and
Nils
Papenberg,
Parallel and Memory Efficient Multimodal Image Registration for Radiotherapy using Normalized Gradient Fields, in IEEE International Symposium on Biomedical Imaging: From Nano to Macro , New York City, USA , 2015.
Parallel and Memory Efficient Multimodal Image Registration for Radiotherapy using Normalized Gradient Fields, in IEEE International Symposium on Biomedical Imaging: From Nano to Macro , New York City, USA , 2015.
File: | konig2015parallel.pdf |
Bibtex: | @INPROCEEDINGS{konig2015parallel, author = {K\"{o}nig, Lars and Derksen, Alexander and Hallmann, Marc and Papenberg, Nils}, booktitle = {IEEE International Symposium on Biomedical Imaging: From Nano to Macro}, title = {Parallel and Memory Efficient Multimodal Image Registration for Radiotherapy using Normalized Gradient Fields}, year = {2015}, address = {New York City, USA}, month = {April}, url = {http://dx.doi.org/10.1109/ISBI.2015.7163977} } |
J.
Modersitzki,
S.
Heldmann, and
N.
Papenberg,
Nonlinear Registration Via Displacement Fields, in Brain Mapping , Toga, Arthur W., Eds. Waltham: Academic Press, 2015, pp. 307 - 314.
Nonlinear Registration Via Displacement Fields, in Brain Mapping , Toga, Arthur W., Eds. Waltham: Academic Press, 2015, pp. 307 - 314.
DOI: | http://dx.doi.org/10.1016/B978-0-12-397025-1.00300-6 |
ISBN: | 978-0-12-397316-0 |
File: | B9780123970251003006 |
Bibtex: | @incollection{Modersitzki2015307, title = {Nonlinear Registration Via Displacement Fields}, editor = {Toga, Arthur W.}, booktitle = {Brain Mapping}, publisher = {Academic Press}, edition = {}, address = {Waltham}, year = {2015}, pages = {307 - 314}, isbn = {978-0-12-397316-0}, doi = {http://dx.doi.org/10.1016/B978-0-12-397025-1.00300-6}, url = {http://www.sciencedirect.com/science/article/pii/B9780123970251003006}, author = {J. Modersitzki and S. Heldmann and N. Papenberg}, keywords = {Displacement fields, Image fusion,Image registration, Nonlinear registration, Variational formulation}, abstract = {Abstract This article presents a brief review on nonlinear registration techniques based on a variational formulation. The main advantages of this setting are its great modeling potential and its modular setting. This enables easy changes and adaptations for fine-tuning for particular applications. Furthermore, this setting also enables the integration of additional information. This can be formulated in terms of either soft or hard constraints, such as privileged handling of anatomical landmarks, local rigidity of structures, and emphasis on volume preservation or limitations of volume changes. The latter is of particular interest for one-to-one displacement fields (also known as diffeomorphic registration). The setting is supported by a rigorous mathematical theory and can be translated into fast and stable implementations. Although the focus of this article is not on the practical realization, important concepts such as multiscale and multilevel representations and reduction of ambiguities of results based on proper regularization are also briefly discussed.}, } |
Alexander
Derksen,
Stefan
Heldmann,
Thomas
Polzin, and
Benjamin
Berkels,
Image registration with sliding motion constraints for 4D CT motion correction, in Bildverarbeitung für die Medizin 2015, Algorithmen – Systeme – Anwendungen, Proceedings des Workshops vom 15. bis 17. März 2015 in Lübeck , Handels, Heinz and Deserno, Thomas M. and Meinzer, Hans-Peter and Tolxdorff, Thomas, Eds. Berlin, Heidelberg: Springer, 2015. pp. 335--340.
Image registration with sliding motion constraints for 4D CT motion correction, in Bildverarbeitung für die Medizin 2015, Algorithmen – Systeme – Anwendungen, Proceedings des Workshops vom 15. bis 17. März 2015 in Lübeck , Handels, Heinz and Deserno, Thomas M. and Meinzer, Hans-Peter and Tolxdorff, Thomas, Eds. Berlin, Heidelberg: Springer, 2015. pp. 335--340.
ISBN: | 9783662462232 |
File: | 978-3-662-46224-9_58 |
Bibtex: | @inproceedings{2015-BVM-dhpb-sliding, title={Image registration with sliding motion constraints for 4D CT motion correction}, author={Derksen, Alexander and Heldmann, Stefan and Polzin, Thomas and Berkels, Benjamin}, pages={335--340}, year={2015}, publisher={Springer}, address = {Berlin, Heidelberg}, booktitle = {Bildverarbeitung f\"{u}r die Medizin 2015, Algorithmen – Systeme – Anwendungen, Proceedings des Workshops vom 15. bis 17. M\"{a}rz 2015 in L\"{u}beck}, editor = {Handels, Heinz and Deserno, Thomas M. and Meinzer, Hans-Peter and Tolxdorff, Thomas}, isbn = {9783662462232}, month = March, url = {http://dx.doi.org/10.1007/978-3-662-46224-9_58}, series = {Informatik aktuell}, abstract = {A common assumption in medical image registration is that the estimation of a globally continuous deformation field is plausible in reality. However, a sliding behavior of adjacent organ boundaries (e.g. lung and ribcage) cannot be described in a plausible way by a continuous deformation field. In this paper, we address this issue with a novel registration framework that explicitly models sliding of interfaces and can preserve discontinuities in the deformation field along predefined organ boundaries. Incorporated methods involve constrained nonlinear registration and a finite element discretization on unstructured tetrahedral meshes. Evaluation is based on the freely available DIR-Lab datasets.} } |
L
König,
A
Derksen,
S
Heldmann,
N
Papenberg,
J
Modersitzki, and
B
Haas,
Deformable image registration with guaranteed local rigidity, Radiotherapy and Oncology: Proceedings of the 3rd ESTRO Forum, Barcelona , vol. 115, pp. S197--S198, 2015. Elsevier.
Deformable image registration with guaranteed local rigidity, Radiotherapy and Oncology: Proceedings of the 3rd ESTRO Forum, Barcelona , vol. 115, pp. S197--S198, 2015. Elsevier.
DOI: | 10.1016/S0167-8140(15)40405-0 |
Bibtex: | @article{konig2015deformable, title={Deformable image registration with guaranteed local rigidity}, author={K{\"o}nig, L and Derksen, A and Heldmann, S and Papenberg, N and Modersitzki, J and Haas, B}, journal={Radiotherapy and Oncology: Proceedings of the 3rd ESTRO Forum, Barcelona}, volume={115}, pages={S197--S198}, year={2015}, publisher={Elsevier}, doi={10.1016/S0167-8140(15)40405-0} } |
Nick
Weiss,
Johannes
Lotz, and
Jan
Modersitzki,
{Multimodal Image Registration in Digital Pathology Using Cell Nuclei Densities}, in Bildverarbeitung für die Medizin 2015, Algorithmen – Systeme – Anwendungen, Proceedings des Workshops vom 15. bis 17. März 2015 in Lübeck , Handels, Heinz and Deserno, Thomas M. and Meinzer, Hans-Peter and Tolxdorff, Thomas, Eds. Berlin, Heidelberg: Springer Vieweg, 2015. pp. 245.
{Multimodal Image Registration in Digital Pathology Using Cell Nuclei Densities}, in Bildverarbeitung für die Medizin 2015, Algorithmen – Systeme – Anwendungen, Proceedings des Workshops vom 15. bis 17. März 2015 in Lübeck , Handels, Heinz and Deserno, Thomas M. and Meinzer, Hans-Peter and Tolxdorff, Thomas, Eds. Berlin, Heidelberg: Springer Vieweg, 2015. pp. 245.
DOI: | 10.1007/978-3-662-46224-9 |
ISBN: | 9783662462232 |
Bibtex: | @inproceedings{Weiss2015, abstract = {Abstract. 3D reconstruction and digital double staining offer pathologists many new insights into tissue structure and metabolism. Key to these applications is the precise registration of histological slide images, that is challenging in several ways. One major challenge are differently stained slides, that highlight different parts of the tissue. In this paper we introduce a new registration method to face this multimodality. It abstracts the image information to cell nuclei densities. By minimizing the distance of these densities an affine transformation is determined that restores the lost spatial correspondences. The proposed density based registration is evaluated using consecutive histological slides. It is compared to a Mutual Information based registration and shown to be more accurate and robust.}, address = {Berlin, Heidelberg}, author = {Weiss, Nick and Lotz, Johannes and Modersitzki, Jan}, booktitle = {Bildverarbeitung f\"{u}r die Medizin 2015, Algorithmen – Systeme – Anwendungen, Proceedings des Workshops vom 15. bis 17. M\"{a}rz 2015 in L\"{u}beck}, doi = {10.1007/978-3-662-46224-9}, editor = {Handels, Heinz and Deserno, Thomas M. and Meinzer, Hans-Peter and Tolxdorff, Thomas}, file = {:home/jo/Seafile/misc/mendeley/Weiss, Lotz, Modersitzki - 2015 - Multimodal Image Registration in Digital Pathology Using Cell Nuclei Densities.pdf:pdf}, isbn = {9783662462232}, month = mar, pages = {245}, publisher = {Springer Vieweg}, title = {{Multimodal Image Registration in Digital Pathology Using Cell Nuclei Densities}}, year = {2015} } |
J.
Lellmann,
K.
Papafitsoros,
C.
Sch\"onlieb, and
D.
Spector,
Analysis and Application of a non-local Hessian, SIAM Journal on Imaging Sciences , vol. 8, no. 4, pp. 2161--2202, 2015.
Analysis and Application of a non-local Hessian, SIAM Journal on Imaging Sciences , vol. 8, no. 4, pp. 2161--2202, 2015.
Stefan
Heldmann,
Thomas
Polzin,
Alexander
Derksen, and
Benjamin
Berkels,
An Image Registration Framework for Sliding Motion with Piecewise Smooth Deformations, in Scale Space and Variational Methods in Computer Vision , Jean-François Aujol and Mila Nikolova and Nicolas Papadakis, Eds. Lège-Cap Ferret, France: Springer International, 2015. pp. 335--347.
An Image Registration Framework for Sliding Motion with Piecewise Smooth Deformations, in Scale Space and Variational Methods in Computer Vision , Jean-François Aujol and Mila Nikolova and Nicolas Papadakis, Eds. Lège-Cap Ferret, France: Springer International, 2015. pp. 335--347.
Jan
Rühaak,
Alexander
Derksen,
Stefan
Heldmann,
Marc
Hallmann, and
Hans
Meine,
Accurate CT-MR image registration for deep brain stimulation: a multi-observer evaluation study, in SPIE Medical Imaging 2015: Image Processing , Orlando, Florida, USA , 2015.
Accurate CT-MR image registration for deep brain stimulation: a multi-observer evaluation study, in SPIE Medical Imaging 2015: Image Processing , Orlando, Florida, USA , 2015.
Kanglin
Chen, and
Alexander
Derksen,
A Variational Method for Contructing Unbiased Atlas with Probabilistic Label Maps, in Workshop: Bildverarbeitung für die Medizin , 2015.
A Variational Method for Contructing Unbiased Atlas with Probabilistic Label Maps, in Workshop: Bildverarbeitung für die Medizin , 2015.
Nils
Papenberg,
Lars
König,
Stefan
Heldmann,
Alexander
Derksen,
Jan
Modersitzki, and
Benjamin
Haas,
A Locally Variable Transformation Model for Deformable Image Registration Using Tissue Properties, in Varian Research Partnership Symposium , Atlanta, Georgia, USA , 2015.
A Locally Variable Transformation Model for Deformable Image Registration Using Tissue Properties, in Varian Research Partnership Symposium , Atlanta, Georgia, USA , 2015.
Lei
Wang,
Jan
Strehlow,
Jan
Rühaak,
Yago
Diez,
Susanne
Diekmann,
Hendrik
Laue, and
Horst K.
Hahn,
A fast alignment method for breast MRI follow-up studies using automated breast segmentation and current-prior registration, in SPIE Medical Imaging 2015: Image Processing , Orlando, Florida, USA , 2015.
A fast alignment method for breast MRI follow-up studies using automated breast segmentation and current-prior registration, in SPIE Medical Imaging 2015: Image Processing , Orlando, Florida, USA , 2015.
J.~H.
Kappes,
B.
Andres,
F. A.
Hamprecht,
C.
Schn\"orr,
S.
Nowozin,
D.
Batra,
S.
Kim,
B. X.
Kausler,
T
Kröger,
J.
Lellmann,
N.
Komodakis,
B.
Savchynskyy, and
C.
Rother,
A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems, Int.~J.~Comp.~Vis , 2015.
A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems, Int.~J.~Comp.~Vis , 2015.
J
Lotz,
J
Olesch,
B
M{ü}ller,
T
Polzin,
P
Galuschka,
J M
Lotz,
S
Heldmann,
H
Laue,
A
Warth,
B
Lahrmann,
N
Grabe,
O
Sedlaczek,
K
Breuhahn, and
J
Modersitzki,
{Patch-Based Nonlinear Image Registration for Gigapixel Whole Slide Images}, IEEE Transactions on Biomedical Engineering , vol. 63, no. 9, pp. 1812--1819, 2015.
{Patch-Based Nonlinear Image Registration for Gigapixel Whole Slide Images}, IEEE Transactions on Biomedical Engineering , vol. 63, no. 9, pp. 1812--1819, 2015.
DOI: | 10.1109/TBME.2015.2503122 |
File: | TBME-00958-2015_preprint.pdf |
Bibtex: | @article{Lotz2015, abstract = {Objective: Image Registration of whole slide histology images allows the fusion of fine-grained information - like different immunohistochemical stains - from neighboring tissue slides. Traditionally, pathologists fuse this information by looking subsequently at one slide at a time. If the slides are digitized and accurately aligned at cell-level, automatic analysis can be used to ease the pathologist's work. However, the size of those images exceeds the memory capacity of regular computers. Methods: We address the challenge to combine a global motion model that takes the physical cutting process of the tissue into account with image data that is not simultaneously globally available. Typical approaches either reduce the amount of data to be processed or partition the data into smaller chunks to be processed separately. Our novel method first registers the complete images on a low resolution with a nonlinear deformation model and later refines this result on patches by using a second nonlinear registration on each patch. Finally the deformations computed on all patches are combined by interpolation to form one globally smooth nonlinear deformation. The NGF distance measure is used to handle multi-stain images. Results: The method is applied to ten whole slide image pairs of human lung cancer data. The alignment of 85 corresponding structures is measured by comparing manual segmentations from neighboring slides. Their offset improves significantly, by at least 15 %, compared to the low-resolution nonlinear registration. Conclusion/Significance: The proposed method significantly improves the accuracy of multi-stain registration which allows to compare different anti-bodies at cell-level. available. Typical approaches either reduce the amount of data to be processed or partition the data into smaller chunks to be processed separately. Our novel method first registers the complete images on a low resolution with a nonlinear deformation model and later refines this result on patches by using a second nonlinear registration on each patch. Finally the deformations computed on all patches are combined by interpolation to form one globally smooth nonlinear deformation. The NGF distance measure is used to handle multi-stain images.Results: The method is applied to ten whole slide image pairs of human lung cancer data. The alignment of 85 corresponding structures is measured by comparing manual segmentations from neighboring slides. Their offset improves significantly, by at least 15 %, compared to the low-resolution nonlinear registration. Conclusion/Significance: The proposed method significantly improves the accuracy of multi-stain registration which allows to compare different anti-bodies at cell-level.}, author = {Lotz, J and Olesch, J and M{\"{u}}ller, B and Polzin, T and Galuschka, P and Lotz, J M and Heldmann, S and Laue, H and Warth, A and Lahrmann, B and Grabe, N and Sedlaczek, O and Breuhahn, K and Modersitzki, J}, doi = {10.1109/TBME.2015.2503122}, journal = {IEEE Transactions on Biomedical Engineering}, keywords = {computer-aided diagnosis,digital pathology,high resolution histological scans ,histopathology, image registration}, title = {{Patch-Based Nonlinear Image Registration for Gigapixel Whole Slide Images}}, year = {2015}, volume = {63}, number = {9}, pages = {1812--1819} } |
2014
Kanglin
Chen,
Stefan
Heldmann,
Jan
Rühaak, and
Marc
Hallmann,
Construction of Average STN Atlas using Image Registration and Reconstruction, in Proc. MICCAI 2014 Workshop on Deep Brain Stimulation Methodological Challenges - 2nd Edition , Boston, USA , 2014.
Construction of Average STN Atlas using Image Registration and Reconstruction, in Proc. MICCAI 2014 Workshop on Deep Brain Stimulation Methodological Challenges - 2nd Edition , Boston, USA , 2014.
File: | paper_01.pdf |
Bibtex: | @INPROCEEDINGS{2014-DBS-CHRH, author = {Chen, Kanglin and Heldmann, Stefan and R\"{u}haak, Jan and Hallmann, Marc}, booktitle = {Proc. MICCAI 2014 Workshop on Deep Brain Stimulation Methodological Challenges - 2nd Edition}, title = {Construction of Average STN Atlas using Image Registration and Reconstruction}, year = {2014}, address = {Boston, USA}, month = {September} } |
Johannes
Lotz,
Judith
Berger,
Benedikt
M\"uller,
Kai
Breuhahn,
Niels
Grabe,
Stefan
Heldmann,
Andr\'{e}
Homeyer,
Bernd
Lahrmann,
Hendrik
Laue,
Janine
Olesch,
Michael
Schwier,
Oliver
Sedlaczek, and
Arne
Warth,
Zooming in: High Resolution 3D Reconstruction of Differently Stained Histological Whole Slide Images, in SPIE Medical Imaging , 2014. pp. 904104-1--7.
Zooming in: High Resolution 3D Reconstruction of Differently Stained Histological Whole Slide Images, in SPIE Medical Imaging , 2014. pp. 904104-1--7.
File: | Lotz_Berger_-_Zooming_in__High_Resolution_3D_Reconstruction_of_Differently_Stained_Histological_Whole_Slide_Images_SPIE-submitted.pdf |
Bibtex: | @inproceedings{lotz2014zooming, title={Zooming in: High Resolution 3D Reconstruction of Differently Stained Histological Whole Slide Images}, author={Johannes Lotz and Judith Berger and Benedikt M\"uller and Kai Breuhahn and Niels Grabe and Stefan Heldmann and Andr\'{e} Homeyer and Bernd Lahrmann and Hendrik Laue and Janine Olesch and Michael Schwier and Oliver Sedlaczek and Arne Warth }, booktitle={SPIE Medical Imaging}, year={2014}, organization={International Society for Optics and Photonics}, pages = {904104-1--7} } |
Bj\"orn Beuthien,
Restringierte Medizinische Bildregistrierung, Institute of Mathematics and Image Computing, University of L\"ubeck, 2014.
Restringierte Medizinische Bildregistrierung, Institute of Mathematics and Image Computing, University of L\"ubeck, 2014.
Constantin
Heck,
Lars
Ruthotto,
Jan
Modersitzki, and
Benjamin
Berkels,
Model-based parameter estimation in DCE-MRI without an Arterial Input Function, in BVM 2014, Bildverarbeitung für die Medizin 2014 , 2014. pp. 246--251.
Model-based parameter estimation in DCE-MRI without an Arterial Input Function, in BVM 2014, Bildverarbeitung für die Medizin 2014 , 2014. pp. 246--251.
Thomas
Polzin,
Jan
Rühaak,
Ren\'{e}
Werner,
Heinz
Handels, and
Jan
Modersitzki,
Lung Registration using Automatically Detected Landmarks, Methods of Information in Medicine , vol. 53, pp. 250--256, 2014.
Lung Registration using Automatically Detected Landmarks, Methods of Information in Medicine , vol. 53, pp. 250--256, 2014.
File: | PolzinEtAl-LungRegistrationUsingAutomaticallyDetectedLandmarks-PrePrint-MIM.pdf |
Bibtex: | @ARTICLE{2014-MIM-PRWHM, author = {Polzin, Thomas and R\"{u}haak, Jan and Werner, Ren\'{e} and Handels, Heinz and Modersitzki, Jan}, title = {Lung Registration using Automatically Detected Landmarks}, journal = {Methods of Information in Medicine}, year = {2014}, volume={53}, pages={250--256} } |
Anna Katharina
Trull,
Benjamin
Berkels, and
Jan
Modersitzki,
Glomerular Filtration Rate Estimation from Dynamic Contrast-Enhanced MRI using a Separable Compartment Model and Parameter Elimination, in BVM 2014, Bildverarbeitung für die Medizin 2014 , 2014. pp. 30--35.
Glomerular Filtration Rate Estimation from Dynamic Contrast-Enhanced MRI using a Separable Compartment Model and Parameter Elimination, in BVM 2014, Bildverarbeitung für die Medizin 2014 , 2014. pp. 30--35.
Johannes
Lotz,
Judith
Berger,
Herbert
Thiele,
Janine
Olesch,
Benedikt
Müller,
Kai
Breuhahn,
Arne
Warth,
Niels
Grabe,
Bernd
Lahrmann,
Oliver
Sedlaczek, and
Stefan
Heldmann,
Elastic image registration on whole slide images for digital double staining and 3D reconstruction, in Poster Submission at the European Molecular Imaging Meeting - EMIM , 2014.
Elastic image registration on whole slide images for digital double staining and 3D reconstruction, in Poster Submission at the European Molecular Imaging Meeting - EMIM , 2014.
File: | wwu |
Bibtex: | @inproceedings{lotz2014elastic, title={Elastic image registration on whole slide images for digital double staining and 3D reconstruction}, author={Johannes Lotz and Judith Berger and Herbert Thiele and Janine Olesch and Benedikt Müller and Kai Breuhahn and Arne Warth and Niels Grabe and Bernd Lahrmann and Oliver Sedlaczek and Stefan Heldmann }, booktitle={Poster Submission at the European Molecular Imaging Meeting - EMIM}, year={2014}, url = {http://s.fhg.de/wwu}, organization={European Society for Molecular Imaging} } |
Robert
Haase,
Fabian
Lohaus,
Jan
R\"uhaak,
D\"orte
Straaten,
Klaus
Z\"ophel, and
Christian
Richter,
Einfluss deformierbarer {B}ildregistrierung von {P}{E}{T}/{C}{T}-{V}erlaufsdaten auf die {S}ignalwerte innerhalb einer {K}ontur: {D}eformation auf {K}onturen oder {B}ilddaten anwenden?, in Proceedings of 20. Jahrestagung der Deutschen Gesellschaft f\"ur Radioonkologie (DEGRO), D\"usseldorf , 2014.
Einfluss deformierbarer {B}ildregistrierung von {P}{E}{T}/{C}{T}-{V}erlaufsdaten auf die {S}ignalwerte innerhalb einer {K}ontur: {D}eformation auf {K}onturen oder {B}ilddaten anwenden?, in Proceedings of 20. Jahrestagung der Deutschen Gesellschaft f\"ur Radioonkologie (DEGRO), D\"usseldorf , 2014.
Herbert
Thiele,
Stefan
Heldmann,
Dennis
Trede,
Jan
Strehlow,
Stefan
Wirtz,
Wolfgang
Dreher,
Judith
Berger,
Janina
Oetjen,
Jan Hendrik
Kobarg,
Bernd
Fischer, and
others,
2D and 3D MALDI-imaging: conceptual strategies for visualization and data mining, Biochimica et Biophysica Acta (BBA)-Proteins and Proteomics , vol. 1844, no. 1, pp. 117--137, 2014. Elsevier.
2D and 3D MALDI-imaging: conceptual strategies for visualization and data mining, Biochimica et Biophysica Acta (BBA)-Proteins and Proteomics , vol. 1844, no. 1, pp. 117--137, 2014. Elsevier.
P
Bronsert,
K
Enderle-Ammour,
M
Bader,
S
Timme,
M
Kuehs,
A
Csanadi,
G
Kayser,
I
Kohler,
D
Bausch,
J
Hoeppner,
UT
Hopt,
T
Keck,
E
Stickeler,
B
Passlick,
O
Schilling,
CP
Reiss,
Y
Vashist,
T
Brabletz,
J
Berger,
J
Lotz,
J
Olesch,
M
Werner, and
UF
Wellner,
Cancer cell invasion and EMT marker expression - a three-dimensional study of the human cancer-host interface -, The Journal of Pathology , 2014. John Wiley & Sons, Ltd.
Cancer cell invasion and EMT marker expression - a three-dimensional study of the human cancer-host interface -, The Journal of Pathology , 2014. John Wiley & Sons, Ltd.
File: | path.4416 |
Bibtex: | @article {PATH:PATH4416, author = {Bronsert, P and Enderle-Ammour, K and Bader, M and Timme, S and Kuehs, M and Csanadi, A and Kayser, G and Kohler, I and Bausch, D and Hoeppner, J and Hopt, UT and Keck, T and Stickeler, E and Passlick, B and Schilling, O and Reiss, CP and Vashist, Y and Brabletz, T and Berger, J and Lotz, J and Olesch, J and Werner, M and Wellner, UF}, title = {Cancer cell invasion and EMT marker expression - a three-dimensional study of the human cancer-host interface -}, journal = {The Journal of Pathology}, publisher = {John Wiley & Sons, Ltd}, issn = {1096-9896}, url = {http://dx.doi.org/10.1002/path.4416}, pages = {}, keywords = {cancer cell invasion, epithelial-mesenchymal transition, tumor budding, human adenocarcinoma, three dimensional reconstruction}, year = {2014} } |
Dennis
Trede,
Andreas
Bartels,
Stefan
Schiffler,
Janina
Oetjen,
Michael
Becker,
Michaela
Aichler,
Florian
Lieb,
Klaus
Steinhorst,
Judith
Berger,
Stefan
Heldmann,
Herbert
Thiele,
Axel
Walch,
Peter
Maass, and
Theodore
Alexandrov,
A spatially-aware highly-sensitive peak picking method for MALDI-imaging, 2014.
A spatially-aware highly-sensitive peak picking method for MALDI-imaging, 2014.
File: | Abstracts-Poster.pdf |
Bibtex: | @Misc{trede2014DGMS, author = {Dennis Trede and Andreas Bartels and Stefan Schiffler and Janina Oetjen and Michael Becker and Michaela Aichler and Florian Lieb and Klaus Steinhorst and Judith Berger and Stefan Heldmann and Herbert Thiele and Axel Walch and Peter Maass and Theodore Alexandrov}, title = {A spatially-aware highly-sensitive peak picking method for MALDI-imaging}, note = {Poster Submission at 47. Jahrestagung der Deutschen Gesellschaft für Massenspektrometrie, Frankfurt am Main}, year = {2014}, url = {http://www.pharmazie.uni-frankfurt.de/PharmChem/DGMS2014/Programm/Abstracts/Abstracts-Poster.pdf} } |
Lars
König,
Till
Kipshagen, and
Jan
Rühaak,
A Non-Linear Image Registration Scheme for Real-Time Liver Ultrasound Tracking using Normalized Gradient Fields, in Proc. MICCAI Challenge on Liver Ultrasound Tracking (CLUST 2014) , Boston, USA , 2014. pp. 29--36.
A Non-Linear Image Registration Scheme for Real-Time Liver Ultrasound Tracking using Normalized Gradient Fields, in Proc. MICCAI Challenge on Liver Ultrasound Tracking (CLUST 2014) , Boston, USA , 2014. pp. 29--36.
File: | konig2014nonlinear.pdf |
Bibtex: | @INPROCEEDINGS{2014-CLUST-KKR, author = {K\"{o}nig, Lars and Kipshagen, Till and R\"{u}haak, Jan}, booktitle = {Proc. MICCAI Challenge on Liver Ultrasound Tracking (CLUST 2014)}, title = {A Non-Linear Image Registration Scheme for Real-Time Liver Ultrasound Tracking using Normalized Gradient Fields}, year = {2014}, address = {Boston, USA}, month = {September}, pages = {29--36} } |
J
Georgii,
T
Bartscherer,
C
Degel,
H
Fonfara,
H
Hewener,
T
Kipshagen,
B
Kocev,
J
Lotz,
D
Ojdanic,
J
Olesch,
S
Rothlübbers,
D
Speicher,
S
Tretbar,
H
Hahn, and
M
Günther,
Improving Breast Biopsies by Motion Tracking. Proc. of Image-Guided Interventions, in Proc. of Image-Guided Interventions (IGIC) , 2014. pp. 79-80.
Improving Breast Biopsies by Motion Tracking. Proc. of Image-Guided Interventions, in Proc. of Image-Guided Interventions (IGIC) , 2014. pp. 79-80.
Roelof
Berg,
Lars
König,
Jan
Rühaak,
Ralph
Lausen, and
Bernd
Fischer,
{H}ighly {E}fficient {I}mage {R}egistration for {E}mbedded {S}ystems {U}sing a {D}istributed {M}ulticore {DSP} {A}rchitecture, {J}ournal of {R}eal-{T}ime {I}mage {P}rocessing , 2014. Springer.
{H}ighly {E}fficient {I}mage {R}egistration for {E}mbedded {S}ystems {U}sing a {D}istributed {M}ulticore {DSP} {A}rchitecture, {J}ournal of {R}eal-{T}ime {I}mage {P}rocessing , 2014. Springer.
File: | Berg2014Highly_Preprint.pdf |
Bibtex: | @ARTICLE{2014-JRTIP-BKRLF, author = {Berg, Roelof and K\"{o}nig, Lars and R\"{u}haak, Jan and Lausen, Ralph and Fischer, Bernd}, title = {{H}ighly {E}fficient {I}mage {R}egistration for {E}mbedded {S}ystems {U}sing a {D}istributed {M}ulticore {DSP} {A}rchitecture}, journal = {{J}ournal of {R}eal-{T}ime {I}mage {P}rocessing}, year = {2014}, month = {November}, publisher = {Springer}, url = {http://dx.doi.org/10.1007/s11554-014-0457-3} } |
Florian
Tramnitzke,
Jan
Rühaak,
Lars
König,
Jan
Modersitzki, and
Harald
Köstler,
{GPU} {B}ased {A}ffine {L}inear {I}mage {R}egistration using {N}ormalized {G}radient {F}ields, in Proc. Seventh International Workshop on High Performance Computing for Biomedical Image Analysis (HPC-MICCAI) , Boston, USA , 2014. pp. 5--14.
{GPU} {B}ased {A}ffine {L}inear {I}mage {R}egistration using {N}ormalized {G}radient {F}ields, in Proc. Seventh International Workshop on High Performance Computing for Biomedical Image Analysis (HPC-MICCAI) , Boston, USA , 2014. pp. 5--14.
File: | tramnitzke2014gpu.pdf |
Bibtex: | @INPROCEEDINGS{2014-MICCAI-HPC-TRKMK, author = {Tramnitzke, Florian and R\"{u}haak, Jan and K\"{o}nig, Lars and Modersitzki, Jan and K\"{o}stler, Harald}, title = {{GPU} {B}ased {A}ffine {L}inear {I}mage {R}egistration using {N}ormalized {G}radient {F}ields}, booktitle = {Proc. Seventh International Workshop on High Performance Computing for Biomedical Image Analysis (HPC-MICCAI)}, year = {2014}, address = {Boston, USA}, month = {September}, pages = {5--14} } |
S
Sorrentino,
M
Peperhove,
T
Kaireit,
J
Rühaak,
J
Strehlow,
F
Wacker,
J
Vogel-Claussen, and
H
Shin,
{E}ntwicklung eines virtuellen 2{D}-{H}erz-{P}hantoms für die {B}erechnung regionaler myokardialer {W}andbewegung mittels nicht-rigider {B}ildregistrierung, 2014. pp. RK{\_}VO207{\_}4.
{E}ntwicklung eines virtuellen 2{D}-{H}erz-{P}hantoms für die {B}erechnung regionaler myokardialer {W}andbewegung mittels nicht-rigider {B}ildregistrierung, 2014. pp. RK{\_}VO207{\_}4.
DOI: | 10.1055/s-0034-1372881 |
ISBN: | 1438-9029 |
Bibtex: | @INPROCEEDINGS{sorrentino2014Entwicklung, author = {Sorrentino,S and Peperhove,M and Kaireit,T and R{\"u}haak,J and Strehlow,J and Wacker,F and Vogel-Claussen,J and Shin,H}, title = {{E}ntwicklung eines virtuellen 2{D}-{H}erz-{P}hantoms f{\"u}r die {B}erechnung regionaler myokardialer {W}andbewegung mittels nicht-rigider {B}ildregistrierung}, year = {2014}, volume = {186}, number = {S 01}, pages = {RK{\_}VO207{\_}4}, bdsk-url-1 = {http://dx.doi.org/10.1055/s-0034-1372881}, da = {22.04.2014}, date = {2014///}, date-added = {2014-07-10 15:19:06 +0000}, date-modified = {2014-07-10 15:19:06 +0000}, doi = {10.1055/s-0034-1372881}, isbn = {1438-9029}, journal = {{F}ortschritte auf dem Gebiet der {R}{\"o}ntgenstrahlen und der bildgebenden Verfahren}, la = {DE}, m2 = {RK{\_}VO207{\_}4}, ty = {JOUR} } |
Janine Olesch,
Bildregistrierung für die navigierte Chirurgie., .... Springer Vieweg, 2014.
Bildregistrierung für die navigierte Chirurgie., .... Springer Vieweg, 2014.
2013
Lars
König,
Nils
Papenberg,
Benjamin
Haas, and
Jan
Modersitzki,
Deformable Registration for Adaptive Radiotherapy with Guaranteed Local Rigidity Constraints, in Varian Research Partnership Symposium , Atlanta, Georgia, USA , 2013.
Deformable Registration for Adaptive Radiotherapy with Guaranteed Local Rigidity Constraints, in Varian Research Partnership Symposium , Atlanta, Georgia, USA , 2013.
Judith
Berger,
Johannes
Lotz,
Janine
Olesch,
Mark Schenk Kai
Breuhahn,
Benedikt
Müller,
Arne
Warth,
Niels
Grabe,
Bernd
Lahrmann, and
Oliver
Sedlaczek,
Virtual Double Staining Using Elastic Image Registration, 2013.
Virtual Double Staining Using Elastic Image Registration, 2013.
File: | fraunhofer-mevis_pathologyvisions2013.pdf |
Bibtex: | @Misc{berger2013virtual, author = {Judith Berger and Johannes Lotz and Janine Olesch and Mark Schenk Kai Breuhahn and Benedikt Müller and Arne Warth and Niels Grabe and Bernd Lahrmann and Oliver Sedlaczek}, title = {Virtual Double Staining Using Elastic Image Registration}, note = {Poster Submission at Pathology Visions, San Antonio}, year = {2013}, url = {https://digitalpathologyassociation.org/poster-presentations} } |
Janina
Oetjen,
Michaela
Aichler,
Dennis
Trede,
Jan
Strehlow,
Judith
Berger,
Stefan
Heldmann,
Michael
Becker,
Michael
Gottschalk,
Jan Hendrik
Kobarg,
Stefan
Wirtz,
Stefan
Schiffler,
Herbert
Thiele,
Axel
Walch,
Peter
Maass, and
Theodore
Alexandrov,
MRI-compatible pipeline for three-dimensional MALDI imaging mass spectrometry using PAXgene fixation, Journal of Proteomics , vol. 90, pp. 52--60, 2013.
MRI-compatible pipeline for three-dimensional MALDI imaging mass spectrometry using PAXgene fixation, Journal of Proteomics , vol. 90, pp. 52--60, 2013.
[German]
Lars
Ruthotto,
Siawoosh
Mohammadi,
Constantin
Heck,
Jan
Modersitzki, and
Nikolaus
Weiskopf,
Hyperelastic Susceptibility Artifact Correction of DTI in SPM, in Bildverarbeitung für die Medizin 2013 , Meinzer, Hans-Peter and Deserno, Thomas Martin and Handels, Heinz and Tolxdorff, Thomas, Eds. Springer Berlin Heidelberg, 2013, pp. 344-349.
Hyperelastic Susceptibility Artifact Correction of DTI in SPM, in Bildverarbeitung für die Medizin 2013 , Meinzer, Hans-Peter and Deserno, Thomas Martin and Handels, Heinz and Tolxdorff, Thomas, Eds. Springer Berlin Heidelberg, 2013, pp. 344-349.
DOI: | 10.1007/978-3-642-36480-8_60 |
ISBN: | 978-3-642-36479-2 |
File: | 978-3-642-36480-8_60 |
Bibtex: | @incollection{2013-BVM-RMHMW, Author = {Ruthotto, Lars and Mohammadi, Siawoosh and Heck, Constantin and Modersitzki, Jan and Weiskopf, Nikolaus}, Booktitle = {Bildverarbeitung f{\"u}r die Medizin 2013}, Doi = {10.1007/978-3-642-36480-8_60}, Editor = {Meinzer, Hans-Peter and Deserno, Thomas Martin and Handels, Heinz and Tolxdorff, Thomas}, Isbn = {978-3-642-36479-2}, Language = {German}, Pages = {344-349}, Publisher = {Springer Berlin Heidelberg}, Series = {Informatik aktuell}, Title = {Hyperelastic Susceptibility Artifact Correction of DTI in SPM}, Url = {http://dx.doi.org/10.1007/978-3-642-36480-8_60}, Year = {2013}, Bdsk-Url-1 = {http://dx.doi.org/10.1007/978-3-642-36480-8_60}} |
Jan
Rühaak,
Stefan
Heldmann,
Till
Kipshagen, and
Bernd
Fischer,
Highly Accurate Fast Lung CT Registration, in SPIE Medical Imaging 2013: Image Processing , Lake Buena Vista, Florida, USA , 2013.
Highly Accurate Fast Lung CT Registration, in SPIE Medical Imaging 2013: Image Processing , Lake Buena Vista, Florida, USA , 2013.
Johannes
Lotz,
Bernd
Fischer,
Janine
Olesch, and
Matthias
Günther,
Real time motion analysis in 4D medical imaging using conditional density propagation, in SPIE Medical Imaging 2015: Image Processing , 2013. pp. 86690T-86690T-7.
Real time motion analysis in 4D medical imaging using conditional density propagation, in SPIE Medical Imaging 2015: Image Processing , 2013. pp. 86690T-86690T-7.
DOI: | 10.1117/12.2006842 |
File: | lotz2013real.pdf |
Bibtex: | @inproceedings{lotz2013real, author = {Lotz, Johannes and Fischer, Bernd and Olesch, Janine and Günther, Matthias}, title = {Real time motion analysis in 4D medical imaging using conditional density propagation}, booktitle ={SPIE Medical Imaging 2015: Image Processing}, volume = {8669}, number = {}, pages = {86690T-86690T-7}, abstract = {Motion, like tumor movement due to respiration, constitutes a major problem in radiotherapy and/or diagnostics. A common idea to compensate for the motion in 4D imaging, is to invoke a registration strategy, which aligns the images over time. This approach is especially challenging if real time processing of the data and robustness with respect to noise and acquisition errors is required. To this end, we present a novel method which is based only on selected image features and uses a probabilistic approach to compute the wanted transformations of the 3D images. Moreover, we restrict the search space to rotation, translation and scaling. In an initial phase, landmarks in the first image of the series have to be identified, which are in the course of the scheme automatically transferred to the next image. To find the associated transformation parameters, a probabilistic approach, based on factored sampling, is invoked. We start from a state set containing a fixed number of different candidate parameters whose probabilities are approximated based on the image information at the landmark positions. Subsequent time frames are analyzed by factored sampling from this state set and by superimposing a stochastic diffusion term on the parameters. The algorithm is successfully applied to clinical 4D CT data. Landmarks have been placed manually to mark the tumor or a similar structure in the initial image whose position is then tracked over time. We achieve a processing rate of up to 12 image volumes per second. The accuracy of the tracking after five time steps is measured based on expert placed landmarks. We achieve a mean landmark error of less than 2 mm in each dimension in a region with radius of 25 mm around the target structure.}, year = {2013}, doi = {10.1117/12.2006842}, URL = { http://dx.doi.org/10.1117/12.2006842}, eprint = {} } |
Dagmar Kainm\"uller,
Deformable Meshes for Accurate Automatic Segmentation of Medical Image Data, Institute of Mathematics and Image Computing, University of L\"ubeck, 2013.
Deformable Meshes for Accurate Automatic Segmentation of Medical Image Data, Institute of Mathematics and Image Computing, University of L\"ubeck, 2013.
Thomas
Polzin,
Jan
Rühaak,
Ren\'{e}
Werner,
Jan
Strehlow,
Stefan
Heldmann,
Heinz
Handels, and
Jan
Modersitzki,
Combining Automatic Landmark Detection and Variational Methods for Lung CT Registration, in Proc. Fifth International MICCAI Workshop on Pulmonary Image Analysis (PIA 2013) , Nagoya, Japan , 2013. pp. 85--96.
Combining Automatic Landmark Detection and Variational Methods for Lung CT Registration, in Proc. Fifth International MICCAI Workshop on Pulmonary Image Analysis (PIA 2013) , Nagoya, Japan , 2013. pp. 85--96.
Janine Olesch,
Bildregistrierung f\"ur die navigierte Chirurgie, Institute of Medical Informatics, University of L\"ubeck, 2013.
Bildregistrierung f\"ur die navigierte Chirurgie, Institute of Medical Informatics, University of L\"ubeck, 2013.
Sven
Barendt, and
Jan
Modersitzki,
A variational model for SPECT reconstruction with a nonlinearly transformed attenuation prototype, International Journal of Computer Mathematics , vol. 90, no. 1, pp. 82-91, 2013.
A variational model for SPECT reconstruction with a nonlinearly transformed attenuation prototype, International Journal of Computer Mathematics , vol. 90, no. 1, pp. 82-91, 2013.
M.
Burger,
J.
Modersitzki, and
L.
Ruthotto,
A hyperelastic regularization energy for image registration, SIAM Journal on Scientific Computing , vol. 35, no. 1, pp. B132--B148, 2013. SIAM.
A hyperelastic regularization energy for image registration, SIAM Journal on Scientific Computing , vol. 35, no. 1, pp. B132--B148, 2013. SIAM.
File: | 2012-09-05_BMR-Hyperelasticity.pdf |
Bibtex: | @article{BurgerEtAl2013, title={A hyperelastic regularization energy for image registration}, author={Burger, M. and Modersitzki, J. and Ruthotto, L.}, journal={SIAM Journal on Scientific Computing}, volume={35}, number={1}, pages={B132--B148}, year={2013}, publisher={SIAM} } |
Thomas
Peter, and
Gerlind
Plonka,
A Generalized Prony Method for Reconstruction of Sparse Sums of Eigenfunctions of Linear Operators. (revised preprint as download), Inverse Problems , vol. 29, no. 2, 2013.
A Generalized Prony Method for Reconstruction of Sparse Sums of Eigenfunctions of Linear Operators. (revised preprint as download), Inverse Problems , vol. 29, no. 2, 2013.
File: | Operator_Prony_revised2.pdf |
Bibtex: | @article{PP2013, author = {Peter, Thomas and Plonka, Gerlind}, title = {A Generalized Prony Method for Reconstruction of Sparse Sums of Eigenfunctions of Linear Operators. (revised preprint as download)}, journal={Inverse Problems}, volume={29}, number={2}, year = {2013}, month = {January} } |
2012
Jan
Rühaak, and
Stefan
Heldmann,
Variational Lung Registration with Explicit Boundary Alignment, 2012.
Variational Lung Registration with Explicit Boundary Alignment, 2012.
Sven
Barendt, and
Jan
Modersitzki,
SPECT Reconstruction with a Transformed Attenuation Prototype at Multiple Levels, in Bildverarbeitung für die Medizin 2012 , Springer, 2012. pp. 352-357.
SPECT Reconstruction with a Transformed Attenuation Prototype at Multiple Levels, in Bildverarbeitung für die Medizin 2012 , Springer, 2012. pp. 352-357.
L.
Ruthotto,
E.
Hodneland, and
J.
Modersitzki,
Registration of Dynamic Contrast Enhanced {MRI} with Local Rigidity Constraint, in Biomedical Image Registration, 5th International Workshop {WBIR2012} , Dawant B.M., Fitzpatrick J.M., Rueckert D., and Christensen G.E., Eds. Springer, 2012.
Registration of Dynamic Contrast Enhanced {MRI} with Local Rigidity Constraint, in Biomedical Image Registration, 5th International Workshop {WBIR2012} , Dawant B.M., Fitzpatrick J.M., Rueckert D., and Christensen G.E., Eds. Springer, 2012.
File: | 2012-03-26-WBIR-DCE.pdf |
Bibtex: | @inproceedings{2012-DCEMRI-WBIR, title={Registration of Dynamic Contrast Enhanced {MRI} with Local Rigidity Constraint}, author={Ruthotto, L. and Hodneland, E. and Modersitzki,J.}, booktitle={Biomedical Image Registration, 5th International Workshop {WBIR2012}}, year={2012}, editor={Dawant B.M., Fitzpatrick J.M., Rueckert D., and Christensen G.E.}, publisher={Springer} } |
F.
Gigengack,
L.
Ruthotto,
T.
Kösters,
X.
Jiang,
J.
Modersitzki,
M.
Burger,
C.H.
Wolters, and
K.
Schäfers,
Pipeline for Motion Correction in Dual Gated PET, in Nuclear Science Symposium and Medical Imaging Confereence (NSS/MIC), 2012 IEEE , 2012. pp. 2983--2984.
Pipeline for Motion Correction in Dual Gated PET, in Nuclear Science Symposium and Medical Imaging Confereence (NSS/MIC), 2012 IEEE , 2012. pp. 2983--2984.
Lars Ruthotto,
Hyperelastic Image Registration - Theory, Numerical Methods, and Applications, Fachbereich Mathematik und Informatik, Westfälische Wilhelms-Universität Münster, 2012.
Hyperelastic Image Registration - Theory, Numerical Methods, and Applications, Fachbereich Mathematik und Informatik, Westfälische Wilhelms-Universität Münster, 2012.
Jan
Strehlow,
Jan
Rühaak,
Christina
Kluck, and
Bernd
Fischer,
Effiziente Verpunktung pulmonaler MR-Bilder zur Evaluierung von Registrierungsergebnissen, in Bildverarbeitung für die Medizin 2012 , Springer, 2012. pp. 219-224.
Effiziente Verpunktung pulmonaler MR-Bilder zur Evaluierung von Registrierungsergebnissen, in Bildverarbeitung für die Medizin 2012 , Springer, 2012. pp. 219-224.
Dennis
Trede,
Stefan
Schiffler,
Michael
Becker,
Stefan
Wirtz,
Klaus
Steinhorst,
Jan
Strehlow,
Michaela
Aichler,
Jan Hendrik
Kobarg,
Janina
Oetjen,
Stefan
Heldmann,
Axel
Walch,
Herbert
Thiele,
Peter
Maass, and
Theodore
Alexandrov,
Exploring 3D MALDI imaging mass spectrometry data: 3D spatial segmentation of mouse kidney, Analytical Chemistry , vol. 84(14), pp. 6079-87, 2012.
Exploring 3D MALDI imaging mass spectrometry data: 3D spatial segmentation of mouse kidney, Analytical Chemistry , vol. 84(14), pp. 6079-87, 2012.
L
Ruthotto,
H
Kugel,
J
Olesch,
B
Fischer,
J
Modersitzki,
M
Burger, and
CH
Wolters,
Diffeomorphic Susceptibility Artefact Correction of Diffusion-Weighted Magnetic Resonance Images, Physics in Medicine and Biology , vol. 57, pp. 5715--5731, 2012.
Diffeomorphic Susceptibility Artefact Correction of Diffusion-Weighted Magnetic Resonance Images, Physics in Medicine and Biology , vol. 57, pp. 5715--5731, 2012.
File: | 2012-RKOFMBW-EPI.pdf |
Bibtex: | @article{RuthottoEtAl2012, author = {Ruthotto, L and Kugel, H and Olesch, J and Fischer, B and Modersitzki, J and Burger, M and Wolters, CH}, title = {Diffeomorphic Susceptibility Artefact Correction of Diffusion-Weighted Magnetic Resonance Images}, journal = {Physics in Medicine and Biology}, year = {2012}, volume={57}, pages = {5715--5731}, url={http://stacks.iop.org/0031-9155/57/5715} } |
Fabian
Gigengack,
Lars
Ruthotto,
Xiaoyi
Jiang,
Jan
Modersitzki,
Martin
Burger,
Sven
Hermann, and
Klaus P.
Schäfers,
Atlas-Based Whole-Body {PET-CT} Segmentation using a Passive Contour Distance, in Proceedings of the MICCAI Workshop on Medical Computer Vision 2012 , Springer LNCS, 2012. pp. 1--10.
Atlas-Based Whole-Body {PET-CT} Segmentation using a Passive Contour Distance, in Proceedings of the MICCAI Workshop on Medical Computer Vision 2012 , Springer LNCS, 2012. pp. 1--10.
L.
Ruthotto,
F.
Gigengack,
M.
Burger,
Wolters,
X.
Jiang,
K.
Schäfers, and
J.
Modersitzki,
A Simplified Pipeline for Motion Correction in Dual Gated Cardiac {PET}, in Bildverarbeitung für die Medizin 2012 , Springer, 2012.
A Simplified Pipeline for Motion Correction in Dual Gated Cardiac {PET}, in Bildverarbeitung für die Medizin 2012 , Springer, 2012.
H.
Thiele,
S.
Heldmann, and
B.
Fischer,
3D Visualisierung von Organismen, in Proceedings der INFORMATIK 2012 , Goltz, U. and Magnor, M. and Appelrath, H-J and Matthies, HK and Balke, W-T and Wolf, L., Eds. Bonn: Gesellschaft für Informatik, 2012. pp. 1535--1545.
3D Visualisierung von Organismen, in Proceedings der INFORMATIK 2012 , Goltz, U. and Magnor, M. and Appelrath, H-J and Matthies, HK and Balke, W-T and Wolf, L., Eds. Bonn: Gesellschaft für Informatik, 2012. pp. 1535--1545.
Fabian
Gigengack,
Lars
Ruthotto,
Martin
Burger,
Carsten H
Wolters,
Xiaoyi
Jiang, and
Klaus P
Schäfers,
{Motion Correction in Dual Gated Cardiac PET using Mass-Preserving Image Registration}, IEEE Transactions on Medical Imaging , vol. 31, no. 3, pp. 698--712, 2012.
{Motion Correction in Dual Gated Cardiac PET using Mass-Preserving Image Registration}, IEEE Transactions on Medical Imaging , vol. 31, no. 3, pp. 698--712, 2012.
2011
B.
G\"obel, and
D.
Langemann,
Systemic investigation of a brain-centered model of the human energy metabolism, Theory Biosci , vol. 130, no. 1, pp. 5-18, 2011.
Systemic investigation of a brain-centered model of the human energy metabolism, Theory Biosci , vol. 130, no. 1, pp. 5-18, 2011.
Sven
Barendt, and
Jan
Modersitzki,
SPECT Reconstruction with a Nonlinear Transformed Attenuation Prototype, in Bildverarbeitung für die Medizin , 2011.
SPECT Reconstruction with a Nonlinear Transformed Attenuation Prototype, in Bildverarbeitung für die Medizin , 2011.
J.
Hamer,
M.
Kleine,
S.
Barendt,
J.
Krajewski,
J.
Konitzer,
E.
Gáspár,
B.
Meller,
J.
Knobloch,
M.
Russlies,
I.
Buchmann,
J.
Barkhausen,
J.
Modersitzki,
G.
Ebel, and
T. M.
Buzug,
Molecular Imaging of Inflammations at Implant Interfaces (M4I) - Part of Molecular Imaging North Competence Center (MOIN CC), Biomed Tech , vol. 56, 2011.
Molecular Imaging of Inflammations at Implant Interfaces (M4I) - Part of Molecular Imaging North Competence Center (MOIN CC), Biomed Tech , vol. 56, 2011.
M.
Chung, and
B.
Göbel,
Mathematical Modeling of the Human Energy Metabolism based on the Selfish Brain Theory, Advances in Systems Biology, Springer , vol. (in press), 2011.
Mathematical Modeling of the Human Energy Metabolism based on the Selfish Brain Theory, Advances in Systems Biology, Springer , vol. (in press), 2011.
Thomas Lange,
Modeling Prior Knowledge for Image Registration in Liver Surgery, Institute of Mathematics and Image Computing, University of L\"ubeck, 2011.
Modeling Prior Knowledge for Image Registration in Liver Surgery, Institute of Mathematics and Image Computing, University of L\"ubeck, 2011.
Britta G\"obel,
Mathematische Modellierung des menschlichen Energiestoffwechsels: Die zentrale Rolle des Gehirns, Institute of Mathematics and Image Computing, University of L\"ubeck, 2011.
Mathematische Modellierung des menschlichen Energiestoffwechsels: Die zentrale Rolle des Gehirns, Institute of Mathematics and Image Computing, University of L\"ubeck, 2011.
Janine
Olesch,
Björn
Beuthien,
Stefan
Heldmann,
Nils
Papenberg, and
Bernd
Fischer,
Fast intra-operative nonlinear registration of 3D-CT to tracked, selected 2D-ultrasound slices, in SPIE Medical Imaging 2011: Visualization, Image-Guided Procedures, and Modeling , Lake Buena Vista, Florida, USA , 2011.
Fast intra-operative nonlinear registration of 3D-CT to tracked, selected 2D-ultrasound slices, in SPIE Medical Imaging 2011: Visualization, Image-Guided Procedures, and Modeling , Lake Buena Vista, Florida, USA , 2011.
M.
Chung,
B.
G\"obel,
A.
Peters,
K.M.
Oltmanns, and
A.
Moser,
Mathematical modeling of the biphasic dopaminergic response to glucose, J Biomed Sci Eng , vol. 4, pp. 136-145, 2011.
Mathematical modeling of the biphasic dopaminergic response to glucose, J Biomed Sci Eng , vol. 4, pp. 136-145, 2011.
Jan
Rühaak,
Stefan
Heldmann, and
Bernd
Fischer,
Improving Lung Registration by Incorporating Anatomical Knowledge: A Variational Approach, in Proc. Fourth International MICCAI Workshop on Pulmonary Image Analysis (PULMO 2011) , Toronto, Canada , 2011.
Improving Lung Registration by Incorporating Anatomical Knowledge: A Variational Approach, in Proc. Fourth International MICCAI Workshop on Pulmonary Image Analysis (PULMO 2011) , Toronto, Canada , 2011.
Janine
Olesch, and
Bernd
Fischer,
Focussed registration of tracked 2D US to 3D CT data of the liver, in Bildverarbeitung für die Medizin , 2011.
Focussed registration of tracked 2D US to 3D CT data of the liver, in Bildverarbeitung für die Medizin , 2011.
Veronika
Zimmer,
Nils
Papenberg,
Jan
Modersitzki, and
Bernd
Fischer,
Bildregistrierung zur Verbrennungsanalyse, in Bildverarbeitung f\"ur die Medizin 2011 , H Handels, Eds. Springer, 2011. pp. 159--163.
Bildregistrierung zur Verbrennungsanalyse, in Bildverarbeitung f\"ur die Medizin 2011 , H Handels, Eds. Springer, 2011. pp. 159--163.
Jan Hendrik
Moltz,
Stefan
Braunewell,
Jan
Rühaak,
Frank
Heckel,
Sebastiano
Barbieri,
Lennart
Tautz,
Horst Karl
Hahn, and
Heinz-Otto
Peitgen,
Analysis of Variability in Manual Liver Tumor Delineation in CT Scans, in 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro , Chicago, Illinois, USA , 2011.
Analysis of Variability in Manual Liver Tumor Delineation in CT Scans, in 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro , Chicago, Illinois, USA , 2011.
Jan Hendrik
Moltz,
Jan
Rühaak,
Horst Karl
Hahn, and
Heinz-Otto
Peitgen,
A Novel Adaptive Scoring System for Segmentation Validation with Multiple Reference Masks, in SPIE Medical Imaging 2011: Image Processing , Lake Buena Vista, Florida, USA , 2011.
A Novel Adaptive Scoring System for Segmentation Validation with Multiple Reference Masks, in SPIE Medical Imaging 2011: Image Processing , Lake Buena Vista, Florida, USA , 2011.
F.
Gigengack,
L.
Ruthotto,
M.
Burger,
C.H.
Wolters,
X.
Jiang, and
K.P.
Schäfers,
Mass-Preserving Motion Correction of PET: Displacement Field vs. Spline Transformation, in Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2011 IEEE , 2011. pp. 3088--3090.
Mass-Preserving Motion Correction of PET: Displacement Field vs. Spline Transformation, in Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2011 IEEE , 2011. pp. 3088--3090.
2010
Stefan Heldmann,
Multimodal Registration of {MR} Images with a Novel Least-squares Distance Measure, SPIE, 2010.
Multimodal Registration of {MR} Images with a Novel Least-squares Distance Measure, SPIE, 2010.
DOI: | 10.1117/12.844466 |
File: | 2010-SPIE-H.pdf |
Bibtex: | @conference{2010-SPIE-H, author = {Heldmann, Stefan}, title = {Multimodal Registration of {MR} Images with a Novel Least-squares Distance Measure}, journal = {Medical Imaging 2010: Image Processing }, Xvolume = {7623}, year = {2010}, publisher={SPIE}, month={February}, DOI={10.1117/12.844466}, adress={San Diego}, } |
B.
Beuthien,
B.
Papenberg,
S.
Heldmann, and
B.
Fischer,
Volume-constrained image registration for pre- and post-operative {CT} liver data, in SPIE Medical Imaging , San Diego, California, USA , 2010.
Volume-constrained image registration for pre- and post-operative {CT} liver data, in SPIE Medical Imaging , San Diego, California, USA , 2010.
File: | 2010-SPIE-BPHF.pdf |
Bibtex: | @INPROCEEDINGS{2010-SPIE-BPHF, author = {Beuthien, B. and Papenberg, B. and Heldmann, S. and Fischer, B.}, title = {Volume-constrained image registration for pre- and post-operative {CT} liver data}, booktitle = {SPIE Medical Imaging}, year = {2010}, address = {San Diego, California, USA}, month = {February}} |
Jan Hendrik
Moltz,
Jan
Rühaak,
Christiane
Engel,
Ulrike
Kayser, and
Heinz-Otto
Peitgen,
Validation of Liver Tumor Segmentation in CT Scans by Relating Manual and Algorithmic Performance - A Preliminary Study, in Proc. MICCAI Workshop on Computational Imaging Biomarkers for Tumors - From Qualitative to Quantitative (CIBT 2010) , Beijing, China , 2010.
Validation of Liver Tumor Segmentation in CT Scans by Relating Manual and Algorithmic Performance - A Preliminary Study, in Proc. MICCAI Workshop on Computational Imaging Biomarkers for Tumors - From Qualitative to Quantitative (CIBT 2010) , Beijing, China , 2010.
File: | download |
Bibtex: | @INPROCEEDINGS{2010-MICCAI-CIBT-MREKP, author = {Moltz, Jan Hendrik and R\"{u}haak, Jan and Engel, Christiane and Kayser, Ulrike and Peitgen, Heinz-Otto}, booktitle = {Proc. MICCAI Workshop on Computational Imaging Biomarkers for Tumors - From Qualitative to Quantitative (CIBT 2010)}, title = {Validation of Liver Tumor Segmentation in CT Scans by Relating Manual and Algorithmic Performance - A Preliminary Study}, year = {2010}, address = {Beijing, China}, month = {September}, url = {http://midasjournal.com/download/viewpdf/754/1/download} } |
Heike
Ruppertshofen,
Sven
Kabus, and
Bernd
Fischer,
Tensor Grid Based Image Registration with Application to Ventilation Estimation on {4D CT} Lung Data, International Journal of Computer Assisted Radiology and Surgery , 2010.
Tensor Grid Based Image Registration with Application to Ventilation Estimation on {4D CT} Lung Data, International Journal of Computer Assisted Radiology and Surgery , 2010.
File: | 2010-IJCARS-RKF.pdf |
Bibtex: | @article{2010-IJCARS-RKF, Author = {Ruppertshofen, Heike and Kabus, Sven and Fischer, Bernd}, Journal = {International Journal of Computer Assisted Radiology and Surgery}, Title = {Tensor Grid Based Image Registration with Application to Ventilation Estimation on {4D CT} Lung Data}, Year = {2010} } |
Björn
Beuthien,
Ali
Kamen, and
Bernd
Fischer,
Recursive Green's Function Registration, in Proc. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) , 2010.
Recursive Green's Function Registration, in Proc. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) , 2010.
File: | 2010-MICCAI-BKF_04.pdf |
Bibtex: | @INPROCEEDINGS{2010-MICCAI-BKF, author = {Beuthien, Bj\"{o}rn and Kamen, Ali and Fischer, Bernd}, title = {Recursive Green's Function Registration}, booktitle = {Proc. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)}, year = {2010} } |
Eldad
Haber,
R.
Horesh, and
Jan
Modersitzki,
Numerical Methods for Constrained Image Registration, Numerical Linear Algebra with Applications , vol. 17, no. 2-3, pp. 343--359, 2010.
Numerical Methods for Constrained Image Registration, Numerical Linear Algebra with Applications , vol. 17, no. 2-3, pp. 343--359, 2010.
N.
Papenberg,
H.
Schumacher,
S.
Heldmann,
T.
Böhler,
D.
Straaten, and
S.
Wirtz,
Multimodale Registrierung von Knochen-Szintigraphien und Röntgenbildern, in Bildverarbeitung für die Medizin , 2010. pp. 335--339.
Multimodale Registrierung von Knochen-Szintigraphien und Röntgenbildern, in Bildverarbeitung für die Medizin , 2010. pp. 335--339.
Konstantin Ens,
Kombinierte Segmentierung und Registrierung, Institute of Mathematics, University of L\"ubeck, 2010.
Kombinierte Segmentierung und Registrierung, Institute of Mathematics, University of L\"ubeck, 2010.
Bibtex: | @phdthesis{2010-PhD-Ens, Author = {Konstantin Ens}, Title = {Kombinierte Segmentierung und Registrierung}, School = {Institute of Mathematics, University of L\"ubeck}, Year = {2010}, } |
Stefan
Heldmann,
Björn
Beuthien,
Janine
Olesch,
Nils
Papenberg, and
Bernd
Fischer,
Improved Minimal-Invasive Laparoscopic Liver Surgery by Registration of 3D CT and 2D Ultrasound Slices, in BMT 2010 - FAL-Sessions, Hot-Topic Sessions, Projektsessions (BMT 2010 - FAL-Sessions - Hot-Topic Sessions - Projektsessions) , Rostock, Germany , 2010.
Improved Minimal-Invasive Laparoscopic Liver Surgery by Registration of 3D CT and 2D Ultrasound Slices, in BMT 2010 - FAL-Sessions, Hot-Topic Sessions, Projektsessions (BMT 2010 - FAL-Sessions - Hot-Topic Sessions - Projektsessions) , Rostock, Germany , 2010.
File: | 2010-BMT-HBPOF.pdf |
Bibtex: | @inproceedings{2010-BMT-HBOPF, Address = {Rostock, Germany}, Author = {Heldmann, Stefan and Beuthien, Bj{\"o}rn and Olesch, Janine and Papenberg, Nils and Fischer, Bernd}, Booktitle = {BMT 2010 - FAL-Sessions, Hot-Topic Sessions, Projektsessions (BMT 2010 - FAL-Sessions - Hot-Topic Sessions - Projektsessions)}, Title = {Improved Minimal-Invasive Laparoscopic Liver Surgery by Registration of 3D CT and 2D Ultrasound Slices}, Year = {2010}, } |
Britta
Göbel,
Dirk
Langemann,
Kerstin M.
Oltmanns, and
Matthias
Chung,
Compact Energy Metabolism Model: Brain Controlled Energy Supply, Journal of Theoretical Biology , vol. 264, pp. 1214-1224, 2010.
Compact Energy Metabolism Model: Brain Controlled Energy Supply, Journal of Theoretical Biology , vol. 264, pp. 1214-1224, 2010.
File: | 5847c422c6ba837cd32d9438c0f4219e |
Bibtex: | @article{2010-JTB-GLOC, title = {Compact Energy Metabolism Model: Brain Controlled Energy Supply}, journal = {Journal of Theoretical Biology}, volume = {264}, pages = {1214-1224}, year = {2010}, issn = {0022-5193}, url = {http://www.sciencedirect.com/science/article/B6WMD-4YM7FS0-1/2/5847c422c6ba837cd32d9438c0f4219e}, author = {G\"{o}bel, Britta and Langemann, Dirk and Oltmanns, Kerstin M. and Chung, Matthias}, keywords = {Energy metabolism}, keywords = {Glucose model}, keywords = {Dynamical system}, keywords = {Stability analysis}, keywords = {Model size reduction}, } |
Bernd
Fischer,
Benoit M.
Dawant, and
Cristian
Lorenz,
Biomedical Image Registration, 4th International Workshop, WBIR 2010., .... Springer, 2010.
Biomedical Image Registration, 4th International Workshop, WBIR 2010., .... Springer, 2010.
Christiane
Pöschl,
Jan
Modersitzki, and
Otmar
Scherzer,
A Variational Setting for Volume Constrained Image Registration, Inverse Problems and Imaging , vol. X, no. 2-3, pp. 1-18, 2010.
A Variational Setting for Volume Constrained Image Registration, Inverse Problems and Imaging , vol. X, no. 2-3, pp. 1-18, 2010.
File: | 2010-IPI-PMS.pdf |
Bibtex: | @ARTICLE{2010-IPI-PMS, author = { P\"{o}schl, Christiane and Modersitzki, Jan and Scherzer, Otmar}, title = {A Variational Setting for Volume Constrained Image Registration}, journal = {Inverse Problems and Imaging}, volume = {X}, number = {2-3}, year = {2010}, pages = {1-18}, } |
Janine
Olesch,
Lars
Ruthotto,
Harald
Kugel,
Stefan
Skare,
Bernd
Fischer, and
Carsten H.
Wolters,
A Variational Approach for the Correction of Field-inhomogeneities in EPI Sequences, Benoit M. Dawant and David R. Haynor, Eds. SPIE, 2010. pp. 76230K.
A Variational Approach for the Correction of Field-inhomogeneities in EPI Sequences, Benoit M. Dawant and David R. Haynor, Eds. SPIE, 2010. pp. 76230K.
File: | 2010-SPIE-ORKSFW.pdf |
Bibtex: | @inproceedings{2010-SPIE-ORKSFW, Author = {Olesch, Janine and Ruthotto, Lars and Kugel, Harald and Skare, Stefan and Fischer, Bernd and Wolters, Carsten H.}, Editor = {Benoit M. Dawant and David R. Haynor}, Journal = {Medical Imaging 2010: Image Processing}, Location = {San Diego, California, USA}, Number = {1}, Numpages = {8}, Pages = {76230K}, Publisher = {SPIE}, Title = {A Variational Approach for the Correction of Field-inhomogeneities in EPI Sequences}, Volume = {7623}, Year = {2010} } |
Alvin
Ihsani,
Jan
Modersitzki, and
Troy
Farncombe,
A Fully Automated Approach to Segmentation and Registration of {3D}, Medical Image Data for Pulmonary Diagnosis, in Proceedings of the 3rd Workshop on Pulmonary Image Analysis, 2010 , Beijing , 2010. pp. 97--109.
A Fully Automated Approach to Segmentation and Registration of {3D}, Medical Image Data for Pulmonary Diagnosis, in Proceedings of the 3rd Workshop on Pulmonary Image Analysis, 2010 , Beijing , 2010. pp. 97--109.
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