An active contour-based atlas registration model applied to automatic subthalamic nucleus targeting on MRI: Method and validation

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

Volumn 5242 LNCS, Issue PART 2, 2008, Pages 980-988

  Duay, Valérie ^a   Bresson, Xavier ^b   Castro, Javier Sanchez ^a   Pollo, Claudio ^c   Cuadra, Meritxell Bach ^a   Thiran, Jean Philippe ^a  

^a EPFL   (Switzerland)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c LAUSANNE UNIVERSITY HOSPITAL   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATION THEORY; MEDICAL IMAGING; NEUROSURGERY;

ATLAS REGISTRATION; COMPUTATIONAL TIME; DEEP BRAIN STIMULATION; LOCALIZATION ERRORS; REGISTRATION ALGORITHMS; REGISTRATION METHODS; STATE OF THE ART; SUBTHALAMIC NUCLEUS;

MEDICAL COMPUTING;

ALGORITHM; ARTICLE; AUDIOVISUAL EQUIPMENT; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; EVALUATION; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SUBTHALAMIC NUCLEUS; VALIDATION STUDY;

ALGORITHMS; COMPUTER SIMULATION; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MODELS, ANATOMIC; MODELS, NEUROLOGICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTHALAMIC NUCLEUS; SUBTRACTION TECHNIQUE;

EID: 84874547911     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-85990-1_118     Document Type: Conference Paper

References (18)

1. Perlmutter, J., et al.: Deep brain stimulation. Annual Review of Neuroscience 29, 229-257 (2006)
2. Sanchez Castro, F.J., et al.: A cross validation study of deep brain stimulation targeting: From experts to atlas-based, segmentation-based and automatic registration algorithms. TMI 25(11) (2006)
3. Sanchez Castro, F.J., et al.: Feature-segmentation-based registration for fast and accurate deep brain stimulation targeting. In: CARS (2006)
4. Sanchez Castro, F.J., et al.: Automatic subthalamic nucleus targeting for deep brain stimulation, a validation study. In: CARS (2006)
5. D'Haese, P.F., et al.: Automatic selection of DBS target points using multiple electrophysiological atlases. In: Duncan, J.S., Gerig, G. (eds.) MICCAI 2005. LNCS, vol. 3750, pp. 427-434. Springer, Heidelberg (2005)
6. Vemuri, B.C., et al.: Image registration via level-set motion: Applications to atlasbased segmentation. MIA 7(1), 1-20 (2003)
7. Yezzi, A., et al.: A variational framework for joint segmentation and registration. In: MMBIA, pp. 44-51 (2001)
8. Osher, S., Sethian, J.A.: Fronts propagating with curvature-dependent speed -algorithms based on hamilton-jacobi formulations. J. of Comp. Physics 79(1), 12-49 (1988)
9. Duay, V.: Deformation field estimation for atlas registration using the active contour framework. THÈSE NO 3979, EPFL (2007)
10. Barron, J.L., et al.: Performance of optical flow techniques. Intl. J. Comput. Vision 1, 43-77 (1994)
11. Chan, T.F., Vese, L.: Active contours without edges. IEEE Trans. Im. Proc. 10(2), 266-277 (2001)
12. Thirion, J.P., et al.: Image matching as a diffusion process: an analogy with maxwells demons. MIA 2(3), 243-260 (1998)
13. Maes, F., et al.: Multiphase multimodality image registration by maximization of mutual information. TMI 16(2), 187-198 (1997)
14. Rueckert, D., et al.: Nonrigid registration using free-form deformations: Application to breast MR images. TMI 18(8), 712-721 (1999)
15. Sanchez Castro, F.J., et al.: Nonrigid medical image registration: Algorithms, validation and applications. THÈSE NO 3817, EPFL (2007)
16. Hellier, P., et al.: Retrospective evaluation of inter-subject brain registration. TMI 22(9), 1120-1130 (2003)
17. Charpiat, G., et al.: Shape statistics for image segmentation with prior. In: CVPR, pp. 1-6 (2007)
18. Pollo, C., et al.: Localization of electrodes in the subthalamic nucleus on magnetic resonance imaging. J. Neurosurg. 106(1), 36-44 (2007)