Estimation of slipping organ motion by registration with direction-dependent regularization
10.1016/j.media.2011.06.007
Crossref journal-article
Elsevier BV
Medical Image Analysis (78)
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Schmidt-Richberg, A., Werner, R., Handels, H., & Ehrhardt, J. (2012). Estimation of slipping organ motion by registration with direction-dependent regularization. Medical Image Analysis, 16(1), 150–159.

Authors 4
  1. Alexander Schmidt-Richberg (first)
  2. René Werner (additional)
  3. Heinz Handels (additional)
  4. Jan Ehrhardt (additional)
References 39 Referenced 82
  1. 10.1088/0031-9155/53/1/022 / Phys. Med. Biol. / Contact surface and material nonlinearity modeling of human lungs by Al-Mayah (2008)
  2. 10.1088/0031-9155/54/7/001 / Phys. Med. Biol. / A framework for evaluation of deformable image registration spatial accuracy using large landmark point sets by Castillo (2009)
  3. 10.1109/83.902291 / IEEE Trans. Image Process. / Active contours without edges by Chan (2001)
  4. Chandrashekara, R., Mohiaddin, R.H., Razavi, R.S., Rueckert, D., 2007. Nonrigid image registration with subdivision lattices: application to cardiac mr image analysis. In: MICCAI ’07: Proceedings of the 10th International Conference on Medical Image Computing and Computer-Assisted Intervention, vol. 4791. pp. 335–342. (10.1007/978-3-540-75757-3_41)
  5. 10.1016/j.media.2008.01.002 / Med. Image Anal. / An efficient locally affine framework for the smooth registration of anatomical structures by Commowick (2008)
  6. 10.1007/BF00123164 / Int. J. Comput. Vis. / Using canny’s criteria to derive a recursively implemented optimal edge detector by Deriche (1987)
  7. Ding, K., Yin, Y., Cao, K., Christensen, G.E., Lin, C.-L., Hoffman, E.A., Reinhardt, J.M., 2009. Evaluation of lobar biomechanics during respiration using image registration. In: MICCAI ’09: Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention, vol. 5761. pp. 739–746. (10.1007/978-3-642-04268-3_91)
  8. 10.1118/1.2431245 / Med. Phys. / An optical flow based method for improved reconstruction of 4D CT data sets acquired during free breathing by Ehrhardt (2007)
  9. 10.1109/TMI.2010.2076299 / IEEE Trans. Med. Imag. / Statistical modeling of 4D respiratory lung motion using diffeomorphic image registration by Ehrhardt (2010)
  10. 10.1023/A:1020830525823 / Int. J. Comput. Vis. / Variational methods for multimodal image matching by Hermosillo (2002)
  11. 10.1109/42.929615 / IEEE Trans. Med. Imag. / Automatic lung segmentation for accurate quantitation of volumetric X-ray CT images by Hu (2001)
  12. Kabus, S., Franz, A., Fischer, B., 2006. Variational image registration with local properties. In: WBIR ’06: Proceedings of the 3rd International Workshop on Biomedical Image Registration, vol. 4057. pp. 92–100. (10.1007/11784012_12)
  13. 10.1118/1.2349696 / Med. Phys. / The management of respiratory motion in radiation oncology report of AAPM task group 76 by Keall (2006)
  14. Loeckx, D., Maes, F., Vandermeulen, D., Suetens, P., 2004. Nonrigid image registration using free-form deformations with a local rigidity constraint. In: MICCAI ’04: Proceedings of the 7th International Conference on Medical Image Computing and Computer-Assisted Intervention, vol. 3216. pp. 639–646. (10.1007/978-3-540-30135-6_78)
  15. 10.1016/j.media.2010.02.004 / Med. Imag. Anal. / A new computationally efficient CAD system for pulmonary nodule detection in CT imagery by Messay (2010)
  16. {'key': '10.1016/j.media.2011.06.007_b0080', 'series-title': 'Numerical Methods for Image Registration', 'author': 'Modersitzki', 'year': '2004'} / Numerical Methods for Image Registration by Modersitzki (2004)
  17. 10.1016/j.media.2006.06.005 / Med. Imag. Anal. / Deformable registration of brain tumor images via a statistical model of tumor-induced deformation by Mohamed (2006)
  18. Murphy, K., van Ginneken, B., Reinhardt, J.M., et al., 2011. Evaluation of registration methods on thoracic CT: the EMPIRE10 challenge. IEEE Trans. Med. Imag. 30 (7). doi:10.1109/TMI.2011.2158349. (10.1109/TMI.2011.2158349)
  19. 10.1109/TPAMI.1986.4767833 / IEEE Trans. Patt. Anal. Mach. Intell. / An investigation of smoothness constraints for the estimation of displacement vector fields from image sequences by Nagel (1986)
  20. 10.1016/j.media.2007.06.007 / Med. Image Anal. / Geometrical regularization of displacement fields for histological image registration by Pitiot (2008)
  21. Ruan, D., Esedoglu, S., Fessler, J.A., 2009. Discriminative sliding preserving regularization in medical image registration. In: Proceedings of the Sixth IEEE International Conference on Symposium on Biomedical Imaging: From Nano to Macro. ISBI’09. pp. 430–433. (10.1109/ISBI.2009.5193076)
  22. 10.1109/TMI.2007.901006 / IEEE Trans. Med. Imag. / A comparison framework for breathing motion estimation methods from 4-D imaging by Sarrut (2007)
  23. Schmidt-Richberg, A., Ehrhardt, J., Werner, R., Handels, H., 2009a. Evaluation and comparison of force terms for the estimation of lung motion by non-linear registration of 4D-CT image data. In: World Congress on Medical Physics and Biomedical Engineering 2009. pp. 2128–2131. (10.1007/978-3-642-03882-2_565)
  24. Schmidt-Richberg, A., Ehrhardt, J., Werner, R., Handels, H., 2009b. Slipping objects in image registration: improved motion field estimation with direction-dependent regularization. In: MICCAI ’09: Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention, vol. 5761. pp. 755–762. (10.1007/978-3-642-04268-3_93)
  25. Schmidt-Richberg, A., Ehrhardt, J., Werner, R., Handels, H., 2010. Diffeomorphic diffusion registration of lung CT images. In: Medical Image Analysis for the Clinic: A Grand Challenge, Workshop Proceedings from MICCAI 2010. pp. 55–62.
  26. 10.3414/ME9234 / Methods Inf. Med. / Integrated segmentation and non-linear registration for organ segmentation and motion field estimation in 4D CT data by Schmidt-Richberg (2009)
  27. Sun, D., Roth, S., Lewis, J.P., Black, M.J., 2008. Learning optical flow. In: ECCV ’08: Proceedings of the 10th European Conference on Computer Vision. pp. 83–97. (10.1007/978-3-540-88690-7_7)
  28. 10.1016/S1361-8415(98)80022-4 / Med. Image Anal. / Image matching as a diffusion process: an analogy with maxwell’s demons by Thirion (1998)
  29. 10.1118/1.3147146 / Med. Phys. / Automatic lung segmentation from thoracic computed tomography scans using a hybrid approach with error detection by van Rikxoort (2009)
  30. Vandemeulebroucke, J., Sarrut, D., Clarysse, P., 2007. Point-validated pixel-based breathing thorax model. In: ICCR ’07: Proceedings of the 15th International Conference on the Use of Computers in Radiation Therapy.
  31. Vik, T., Kabus, S., von Berg, J., et al., 2008. Validation and comparison of registration methods for free-breathing 4D lung-CT. In: Image Processing, SPIE Medical Imaging 2008, vol. 6914. p. 69142P. (10.1117/12.767787)
  32. von Berg, J., Barschdorf, H., Blaffert, T., Kabus, S., 2007. Surface based cardiac and respiratory motion extraction for pulmonary structures from multi-phase CT. In: Image Processing, SPIE Medical Imaging 2007, vol. 6511. p. 65110Y. (10.1117/12.709395)
  33. 10.1088/0031-9155/52/6/001 / Phys. Med. Biol. / 4D MR imaging of respiratory organ motion and its variability by von Siebenthal (2007)
  34. 10.1109/83.661190 / IEEE Trans. Image Process. / Efficient and reliable schemes for nonlinear diffusion filtering by Weickert (1998)
  35. 10.1118/1.3101820 / Med. Phys. / Patient-specific finite element modeling of respiratory lung motion using 4D CT image data by Werner (2009)
  36. Werner, R., Ehrhardt, J., Schmidt-Richberg, A., Handels, H., 2009b. Validation and comparison of a biophysical modeling approach and non-linear registration for estimation of lung motion fields in thoracic 4D CT data. In: Image Processing, SPIE Medical Imaging 2009, vol. 7259. pp. 0U1–0U8. (10.1117/12.811130)
  37. 10.1118/1.2828378 / Med. Phys. / Evaluation of deformable registration of patient lung 4dct with subanatomical region segmentations by Wu (2008)
  38. 10.1016/j.ijrobp.2009.02.023 / Int. J. Radiat. Oncol. Biol. Phys. / Tissue feature-based and segmented deformable image registration for improved modeling of shear movement of lungs by Xie (2009)
  39. Zimmer, H., Bruhn, A., Weickert, J., Valgaerts, L., Salgado, A., Rosenhahn, B., Seidel, H.-P., 2009. Complementary optic flow. In: EMMCVPR ’09: Proceedings of the 7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition. pp. 207–220. (10.1007/978-3-642-03641-5_16)
Dates
Type When
Created 14 years, 1 month ago (June 28, 2011, 11:57 p.m.)
Deposited 6 years, 2 months ago (June 12, 2019, 5:54 a.m.)
Indexed 47 minutes ago (Aug. 23, 2025, 6:36 p.m.)
Issued 13 years, 7 months ago (Jan. 1, 2012)
Published 13 years, 7 months ago (Jan. 1, 2012)
Published Print 13 years, 7 months ago (Jan. 1, 2012)
Funders 0

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@article{Schmidt_Richberg_2012, title={Estimation of slipping organ motion by registration with direction-dependent regularization}, volume={16}, ISSN={1361-8415}, url={http://dx.doi.org/10.1016/j.media.2011.06.007}, DOI={10.1016/j.media.2011.06.007}, number={1}, journal={Medical Image Analysis}, publisher={Elsevier BV}, author={Schmidt-Richberg, Alexander and Werner, René and Handels, Heinz and Ehrhardt, Jan}, year={2012}, month=jan, pages={150–159} }