A unified framework for atlas based brain image segmentation and registration

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4057 LNCS, Issue , 2006, Pages 136-143

  D'Agostino, E ^a   Maes, F ^a,b   Vandermeulen, D ^a   Suetens, P ^a  

^a UNIVERSITY OF LEUVEN   (Belgium)

^b RESEARCH FOUNDATION FLANDERS FWO   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; FUNCTIONAL ASSESSMENT; INFORMATION ANALYSIS; ITERATIVE METHODS; MAGNETIC RESONANCE IMAGING;

BRAIN IMAGE SEGMENTATION; REGISTRATION PROCESSES; STANDARD EM SEGMENTATION ALGORITHMS;

IMAGE SEGMENTATION;

EID: 33746375691     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11784012_17     Document Type: Conference Paper

References (13)

1. J. Ashburner and K.J. Friston. Unified segmentation. NeuroImage, 26(2005), 839-851, 2005
2. A. Hammers, M.J. Koep, S.L. Free, M. Brett, M.P. Richardson, C. Labbé, V.J. Cunningham, D.J. Brooks, and J. Duncan. Implementation and application of a brain template for multiple volumes of interest. Human Brain Mapping, 15(3):165-174, 2002.
3. Q. Wang, D. Seghers, E. D'Agostino, F. Maes, D. Vandermeulen, P. Suetens and A. Hammers Construction and validation of mean shape atlas templates for atlas-based brain image segmentation in Proceedings information processing in medical imaging (IPMI 2005), volume 3565 of Lecture notes in computer science, pp. 689-700, July 2005, Glenwood Springs, Colorado, USA
4. X. Chen, M. Brady, and D. Rueckert. Simultaneous segmentation and registration for medical image. In C. Barillot and D. Haynor, editors, MICCAI 2004, volume 3216 of Lecture Notes in Computer Science, pages 663-670, Saint-Malo, France, September 2004. Springer-Verlag, Berlin.
5. E. D'Agostino, F. Maes, D. Vandermeulen, B. Fischer, and P. Suetens. An information theoretic approach for non-rigid image registration using voxel class probabilities. In J.C. Gee, J.B.A. Maintz, and M.W. Vannier, editors, Proc. Second International Workshop on Biomedical Image Registration (WBIR 2003), volume 2717 of Lecture Notes in Computer Science, pages 122-131, Philadelphia, PE, June 2003. Springer-Verlag, Berlin.
6. F. Maes, A. Collignon, D. Vandermeulen, G. Marchai, and P. Suetens. Multimodality image registration by maximization of mutual information. IEEE Transactions on Medical Imaging, 16(2):187-198, 1997.
7. E. D'Agostino, F. Maes and D. Vandermeulen and P. Suetens, A viscous fluid model for multimodal non-rigid image registration using mutual information. Medical Image Analysis, 7(4):565-575, 2003
8. E. D'Agostino, F. Maes and D. Vandermeulen and P. Suetens, An information theoretic approach for non-rigid image registration using voxel class probabilities. Medical Image Analysis Accepted for publication, 2005
9. Rohlfing, D. B. Russakoff, M. J. Murphy, and C.R. Maurer Jr. An intensity-based registration algorithm for probabilistic images and its application to 2d-3d image registration. In in Proc. of SPIE: Medical Imaging 2002, San Diego, CA, pages 581-591, San Diego, California, 2002.
10. S. Smith, P. Bannister, C. Beckmann, M. Brady, S. Clare, D. Flitney, P. Hansen, M. Jenkinson, D. Leibovici, B. Ripley, M Woolrich, and Y. Zhang. Fsl: New tools for functional and structural brain image analysis. Seventh Int. Conf. on Functional Mapping of the Human Brain, 2001.
11. K. Van Leemput, F. Maes, D. Vandermeulen, and P. Suetens. Automated model-based tissue classification of MR images of the brain. IEEE Transactions on Medical Imaging, 18(10):897-908, 1999.
12. S. K. Warfield, M. Knaus, F. A. Jolesz, and R. Kikinis. Adaptive, template moderate, spatially varying statistical classification. Medical Image Analysis, 4(1):43-55, 2000.
13. P. Wyatt and J. Alison Noble. Map mrf joint segmentation and registration of medical images. Medical Image Analysis, 7(4):539-552, 2003.