Probabilistic image registration and anomaly detection by nonlinear warping

26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR

Volumn , Issue , 2008, Pages

  Kaynig, Verena ^a   Fischer, Bernd ^a   Buhmann, Joachim M ^a  

^a ETH ZURICH   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER VISION; COMPUTERIZED TOMOGRAPHY; ESTIMATION; FEATURE EXTRACTION; IMAGE ACQUISITION; IMAGE ANALYSIS; IMAGE ENHANCEMENT; IMAGE PROCESSING; IMAGING TECHNIQUES; PATTERN RECOGNITION; PROBABILITY;

ANOMALY DETECTIONS; BIOMEDICAL IMAGE ANALYSIS; BRAIN TISSUES; CHALLENGING PROBLEM; DISTORTION CORRECTION; E-M ALGORITHMS; IMAGE DEFECTS; IMAGE STACKING; IMAGE TRANSFORMATIONS; LARGE DATASETS; NON-LINEAR; NON-LINEAR WARPING; OUTLIER DETECTION; POLYNOMIAL KERNELS; PROBABILISTIC APPROACHES; REGISTRATION METHODS; REGISTRATION PROCESS; SAMPLE PREPARATIONS; SERIAL SECTIONING; SPATIAL FEATURES; TEM IMAGES; TRANSMISSION ELECTRON MICROSCOPY (TEM);

IMAGE REGISTRATION;

EID: 51949096537     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2008.4587743     Document Type: Conference Paper

References (19)

1. M. J. Black and P. Anandan. The robust estimation of multiple motions: parametric and piecewise-smooth flow fields. Comput. Vis. Image Underst., 63(1):75-104, 1996.
2. T. Brox, A. Bruhn, N. Papenberg, and J. Weickert. High accuracy optical flow estimation based on a theory for warping. In T. Pajdla and J. Matas, editors, European Conference on Computer Vision (ECCV), volume 3024 of LNCS, pages 25-36, Prague, Czech Republic, May 2004. Springer.
3. H. Chui and A. Rangarajan. A new algorithm for non-rigid point matching. In CVPR, volume 2, pages 44-51, 2000.
4. V. Gay-Bellile, M. Perriollat, A. Bartoli, and P. Sayd. Image registration by combining thin-plate splines with a 3D morphable model. In ICIP, pages 1069-1072, 2006.
5. B. Glocker, N. Komodakis, N. Paragios, G. Tziritas, and N. Navab. Inter and intra-modal deformable registration: Continuous deformations meet efficient optimal linear programming. In Information Processing in Medical Imaging, volume 4584 of Lecture Notes in Computer Science, pages 408-420. Springer, 2007.
6. T. Hastie and R. Tibshirani. The Elements of Statistical Learning. Springer, 2001.
7. D. L. G. Hill and P. G. Batchelor. Medical image registration. Physics in Medicine and Biology, 46(3), 2001.
8. B. K. Hoffpauir, B. A. Pope, and G. A. Spirou. Serial sectioning and electron microscopy of large tissue volumes for 3D analysis and reconstruction: a case study of the calyx of held. Nature Protocols, 2(1):9-22, 2007.
9. H. J. Johnson and G. E. Christensen. Consistent landmark and intensity based image registration. IEEE Trans Med Imaging, 21(5):450-461, 2002.
10. P. König, C. Kayser, V. Bonin, and R. P. Würtz. Efficient evaluation of serial sections by iterative Gabor matching. Journal of Neuroscience Methods, 2001.
11. W. Li and H. Leung. A maximum likelihood approach for image registration using control point and intensity. IEEE Transactions on Pattern Analysis and Machine Intelligence, 13(8):1115-1127, 2004.
12. D. G. Lowe. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 2004.
13. P. K. Luther, M. C. Lawrence, and R. A. Crowther. A method for monitoring the collapse of plastic sections as a function of electron dose. Ultramicroscopy, 24(1):7-18, 1988.
14. S. Ourselin, A. Roche, G. Subsol, X. Pennec, and N. Ayache. Reconstructing a 3D structure from serial histological sections. Image and Vision Computing, 19(1-2):25-31, January 2001.
15. D. Perperidis, R. H. Mohiaddin, and D. Rueckert. Spatio-temporal free-form registration of cardiac MR image sequences. Medical Image Analysis, 9(5):441-456, October 2005.
16. C. V. Stewart, C. Tsai, and B. Roysam. The dual-bootstrap iterative closest point algorithm with application to retinal image registration. IEEE Transactions on Medical Imaging, 22:1379-1394, 2003.
17. C. Strecha, R. Fransens, and L. V. Gool. Wide-baseline stereo from multiple views: a probabilistic account. In CVPR, volume 2, pages 552-559, 2004.
18. C. Strecha, T.Tuytelaars, and L. V. Gool. Dense matching of multiple wide-baseline views. In ICCV, volume 2, pages 1194-1201, 2003.
19. B. Zitova and J. Flusser. Image registration methods: a survey. Image and Vision Computing, 21(11):977-1000, October 2003.