Elastic registration of electrophoresis images using intensity information and point landmarks
10.1016/j.patcog.2003.10.004
Crossref journal-article
Elsevier BV
Pattern Recognition (78)
Bibliography

Rohr, K., Cathier, P., & Wörz, S. (2004). Elastic registration of electrophoresis images using intensity information and point landmarks. Pattern Recognition, 37(5), 1035–1048.

Authors 3
  1. K. Rohr (first)
  2. P. Cathier (additional)
  3. S. Wörz (additional)
References 36 Referenced 43
  1. 10.1145/146370.146374 / ACM Comput. Surv. / A survey of image registration techniques by Brown (1992)
  2. 10.1109/51.195938 / IEEE Eng. Med. Biol. / Medical image matching—a review with classification by van den Elsen (1993)
  3. 10.1016/S1361-8415(01)80026-8 / Med. Image Anal. / A survey of medical image registration by Maintz (1998)
  4. A.W. Toga (Ed.), Brain Warping, Academic Press, San Diego, 1999.
  5. 10.1016/S0031-3203(98)00095-8 / Pattern Recogn. / A survey of hierarchical non-linear medical image registration by Lester (1999)
  6. K. Rohr, Landmark-Based Image Analysis: Using Geometric and Intensity Models, Computational Imaging and Vision Series, Vol. 21, Kluwer Academic Publishers, Dordrecht, Boston, London, 2001. (10.1007/978-94-015-9787-6)
  7. 10.1016/S0262-8856(00)00055-X / Image and Vision Comput. / The role of image registration in brain mapping by Toga (2001)
  8. 10.1002/elps.1150181507 / Electrophoresis / Melanie II—a third-generation software package for analysis of two-dimensional electrophoresis images by Appel (1997)
  9. 10.1002/elps.1150180321 / Electrophoresis / Comparing two-dimensional gels across the internet by Lemkin (1997)
  10. 10.1089/10665270252935476 / J. Comput. Biol. / Geometric algorithms for the analysis of 2D-electrophoresis gels by Efrat (2002)
  11. M. Baker, H. Busse, M. Vogt, An automatic registration and segmentation algorithm for multiple electrophoresis images, in: K.M. Hanson (Ed.), Medical Imaging 2000 — Image Processing (MI’2000), Proceedings of the SPIE International Symposium, Vol. 3979, February 14–17, 2000, San Diego/CA, pp. 426–436.
  12. 10.1002/1522-2683(200105)22:9<1616::AID-ELPS1616>3.0.CO;2-Z / Electrophoresis / Automatic registration for images of two-dimensional protein gels by Smilansky (2001)
  13. 10.1002/1615-9861(200107)1:7<856::AID-PROT856>3.0.CO;2-R / Proteomics / Multiresolution image registration for two-dimensional gel electrophoresis by Veeser (2001)
  14. 10.1002/(SICI)1098-1098(2000)11:1<71::AID-IMA8>3.0.CO;2-5 / Int. J. Imaging Systems Technol. / Unifying maximum likelihood approaches in medical image registration by Roche (2000)
  15. 10.1109/42.563664 / IEEE Trans. Med. Imaging / Multimodality image registration by maximization of mutual information by Maes (1997)
  16. 10.1023/A:1007958904918 / Int. J. Comput. Vision / Alignment by maximization of mutual information by Viola (1997)
  17. P. Cachier, J.-F. Mangin, X. Pennec, D. Rivière, D. Papadopoulos-Orfanos, J. Régis, N. Ayache, Multisubject non-rigid registration of brain MRI using intensity and geometric features, Proceedings of the Fourth International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI’2001), Utrecht, The Netherlands, October 14–17, 2001, in: W.J. Niessen, M.A. Viergever (Eds.), Lecture Notes in Computer Science, Vol. 2208, Springer, Berlin, Heidelberg, 2001, pp. 734–742. (10.1007/3-540-45468-3_88)
  18. 10.1007/BF00133702 / Int. J. Comput. Vision / Recognizing corners by fitting parametric models by Rohr (1992)
  19. 10.1023/A:1007919223573 / Int. J. Comput. Vision / Model-based detection and localization of circular landmarks in aerial images by Drewniok (1997)
  20. 10.1097/00004728-199707000-00007 / J. Comput. Assist. Tomogr. / Comparison and evaluation of retrospective intermodality brain image registration techniques by West (1997)
  21. B. Josso, E. Zindy, H. Aldemir, Automatic 2D gel registration using distance minimisation of image morphing, Proceedings of the IEEE International Conference on Information Visualization (IV’00), London, England, July 19–21, 2000, pp. 357–361. (10.1109/IV.2000.859781)
  22. 10.1002/1522-2683(200206)23:11<1731::AID-ELPS1731>3.0.CO;2-# / Electrophoresis / Warping two-dimensional electrophoresis gel images to correct for geometric distortions of the spot pattern by Gustafsson (2002)
  23. D.L. Collins, G. Le Goualher, A.C. Evans, Non-linear cerebral registration with sulcal constraints, Proceedings of the First International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI’98), Massachusetts Institute of Technology (MIT), Cambridge/MA, USA, October 11–13, 1998, in: W.M. Wells, A. Colchester, S. Delp (Eds.), Lecture Notes in Computer Science, Vol. 1496, Springer, Berlin, Heidelberg, 1998, pp. 974–984. (10.1007/BFb0056286)
  24. Y. Wang, L.H. Staib, Elastic model based non-rigid registration incorporating statistical shape information, Proceedings of the First International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI’98), Massachusetts Institute of Technology (MIT), Cambridge/MA, USA, October 11–13, 1998, in: W.M. Wells, A. Colchester, S. Delp (Eds.), Lecture Notes in Computer Science, Vol. 1496, Springer, Berlin, Heidelberg, 1998, pp. 1162–1117. (10.1007/BFb0056306)
  25. P. Hellier, C. Barillot, Cooperation between local and global approaches to register brain images, Proceedings of the 17th International Conference on Information Processing in Medical Imaging (IPMI’01), Davis, CA, USA, June 18–22, 2001, in: M.S. Insana, R.M. Leahy (Eds.), Lecture Notes in Computer Science, Vol. 2082, Springer, Berlin, Heidelberg, 2001, pp. 315–328. (10.1007/3-540-45729-1_32)
  26. 10.1109/TMI.2002.1009381 / IEEE Trans. Med. Imaging / Consistent landmark and intensity-based image registration by Johnson (2002)
  27. T. Hartkens, D.L.G. Hill, A.D. Castellano-Smith, D.J. Hawkes, C.R. Maurer, A.J. Martin, W.A. Hall, H. Liu, C.L. Truwit, Using points and surfaces to improve voxel-based non-rigid registration, Proceedings of the International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI’02), Tokyo/Japan, September 2002, in: T. Dohi, R. Kikinis (Eds.), Lecture Notes in Computer Science, Vol. 2489, Part II, Springer, Berlin, Heidelberg, 2002, pp. 565–572. (10.1007/3-540-45787-9_71)
  28. J. Modersitzki, B. Fischer, Optimal image registration with a guaranteed one-to-one point match, in: T. Wittenberg, P. Hastreiter, U. Hoppe, H. Handels, A. Horsch, H.-P. Meinzer (Eds.), Proceedings of the Workshop Bildverarbeitung für die Medizin 2003—Algorithmen, Systeme, Anwendungen— Erlangen/Germany, 9.-11. März 2003, Informatik aktuell, Springer, Berlin, Heidelberg, 2003, pp. 1–5. (10.1007/978-3-642-18993-7_1)
  29. P. Cachier, Recalage non rigide d'images médicales volumiques: contributions aux approches iconiques et géométriques, Ph.D. Thesis, École Centrale Paris, France, 2002.
  30. 10.1109/42.929618 / IEEE Trans. Med. Imaging / Landmark-based elastic registration using approximating thin-plate splines by Rohr (2001)
  31. 10.1016/S0031-3203(98)00088-0 / Pattern Recogn. / Extraction of 3D anatomical point landmarks based on invariance principles by Rohr (1999)
  32. 10.1109/36.3000 / IEEE Trans. Geosci. Remote Sens. / Registration of images with geometric distortions by Goshtasby (1988)
  33. R. Wiemker, K. Rohr, L. Binder, R. Sprengel, H.S. Stiehl, Application of elastic registration to imagery from airborne scanners, Proceedings of the ISPRS Congress, Vienna, July 1996, International Archives of Photogrammetry and Remote Sensing, Vol. XXXI, Part B4, pp. 949–954.
  34. {'year': '1981', 'series-title': 'Practical Optimization', 'author': 'Gill', 'key': '10.1016/j.patcog.2003.10.004_BIB34'} / Practical Optimization by Gill (1981)
  35. 10.1023/B:JMIV.0000024042.88755.4f / J. Math. Imaging and Vision / Isotropic energies, filters and splines for vector field regularization by Cachier (2004)
  36. P. Cachier, X. Pennec, 3D non-rigid registration by gradient descent on a Gaussian-Windowed similarity measure using convolutions, Proceedings of the IEEE Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA’00), June 11–12, 2000, Hilton Head, SC, USA, IEEE Computer Society Press, Silver Spring, MD, 2000, pp. 182–189. (10.1109/MMBIA.2000.852376)
Dates
Type When
Created 21 years, 6 months ago (Jan. 27, 2004, 5:23 a.m.)
Deposited 8 months, 1 week ago (Dec. 14, 2024, 8:04 p.m.)
Indexed 8 months, 1 week ago (Dec. 14, 2024, 8:40 p.m.)
Issued 21 years, 3 months ago (May 1, 2004)
Published 21 years, 3 months ago (May 1, 2004)
Published Print 21 years, 3 months ago (May 1, 2004)
Funders 0

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@article{Rohr_2004, title={Elastic registration of electrophoresis images using intensity information and point landmarks}, volume={37}, ISSN={0031-3203}, url={http://dx.doi.org/10.1016/j.patcog.2003.10.004}, DOI={10.1016/j.patcog.2003.10.004}, number={5}, journal={Pattern Recognition}, publisher={Elsevier BV}, author={Rohr, K. and Cathier, P. and Wörz, S.}, year={2004}, month=may, pages={1035–1048} }