Diffeomorphic demons using normalized mutual information, evaluation on multimodal brain MR images

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 7623, Issue PART 1, 2010, Pages

  Modat, Marc ^a   Vercauteren, Tom ^b   Ridgway, Gerard R ^c   Hawkes, David J ^a   Fox, Nick C ^c   Ourselin, Sébastien ^a,c  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b Mauna Kea Technologies   (France)

^c UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ANALYTICAL GRADIENTS; BRAIN MR; CONJUGATE GRADIENT; DEFORMATION FIELD; DIFFEOMORPHISMS; MR IMAGES; MULTI-MODAL; MULTI-MODALITY; MUTUAL INFORMATIONS; NON-PARAMETRIC; NONRIGID REGISTRATION METHOD; NORMALIZED MUTUAL INFORMATION; QUANTITATIVE ASSESSMENTS; SIMILARITY METRICS; STATE OF THE ART;

CONJUGATE GRADIENT METHOD; IMAGE PROCESSING; IMAGING SYSTEMS;

MEDICAL IMAGING;

EID: 79751508975     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.843962     Document Type: Conference Paper

References (16)

1. Thirion, J.-P., "Image matching as a diffusion process: An analogy with Maxwell's demons," Med. Image Anal. 2(3), 243-260 (1998).
2. Christensen, G. E., Rabbitt, R. D., and Miller, M. I., "Deformable templates using large deformation kinematics," IEEE Trans. Image Process. 5, 1435-1447 (1996).
3. Rueckert, D., Sonoda, L., Hayes, C., Hill, D., Leach, M., and Hawkes, D., "Nonrigid registration using free-form deformations: Application to breast MR images," IEEE Trans. Med. Imag. 18, 712-721 (1999).
4. Vercauteren, T., Pennec, X., Perchant, A., and Ayache, N., "Diffeomorphic demons: Efficient non-parametric image registration," Neuroimage 45, S61-S72 (Mar. 2009).
5. Vercauteren, T., Pennec, X., Perchant, A., and Ayache, N., "Symmetric log-domain diffeomorphic registration: A demons-based approach," in [Proc. MICCAI'08], 754-761 (2008).
6. Guimond, A., Roche, A., Ayache, N., and Meunier, J., "Multimodal brain warping using the demons algorithm and adaptative intensity corrections," IEEE Trans. Med. Imag. 20, 58-69 (Jan. 2001).
7. Hermosillo, G., Chefd'Hotel, C., and Faugeras, O., "Variational methods for multimodal image matching," Int. J. Comput. Vis. 50, 329-343 (Dec. 2002).
8. Tao, G., He, R., Datta, S., and Narayana, P. A., "Symmetric inverse consistent nonlinear registration driven by mutual information," Comput. Methods Programs Biomed. (2009). In press.
9. Cocosco, C., Kollokian, V., Kwan, R., and Evans, A., "Brainweb: Online interface to a 3D MRI simulated brain database," Neuroimage 5(4), 425 (1997).
10. Cachier, P., Bardinet, E., Dormont, D., Pennec, X., and Ayache, N., "Iconic feature based nonrigid registration: The PASHA algorithm," Comput. Vis. Image Underst. 89, 272-298 (Feb. 2003).
11. Modersitzki, J., [Numerical methods for image registration], Oxford University Press (2004).
12. Studholme, C., Hill, D. L. G., and Hawkes, D. J., "An overlap invariant entropy measure of 3D medical image alignment," Pattern Recognit 32, 71-86 (1999).
13. Jenkinson, M. and Smith, S., "A global optimisation method for robust affine registration of brain images," Medical Image Analysis 5, 143-156 (2001).
14. Modat, M., Ridgway, G. R., Taylor, Z., Lehmann, M., Barnes, J., Hawkes, D., Fox, N. C., and Ourselin, S., "Fast free-form deformation using graphics processing units," Comput. Methods Programs Biomed. (2009). In press.
15. Klein, S., Staring, M., and Pluim, J. P.W., "Evaluation of optimization methods for nonrigid medical image registration using mutual information and B-splines," IEEE Trans. Med. Imag. 16(12), 2879-2890 (2007).
16. Klein, A., Andersson, J., Ardekani, B. A., Ashburner, J., Avants, B., Chiang, M.-C., Christensen, G. E., Collins, D. L., Gee, J., Hellier, P., Song, J. H., Jenkinson, M., Lepage, C., Rueckert, D., Thompson, P., Vercauteren, T., Woods, R. P., Mann, J. J., and Parsey, R. V., "Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration," Neuroimage 46, 786-802 (Jul 2009).