Model guided diffeomorphic demons for atlas based segmentation

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 7623, Issue PART 1, 2010, Pages

  Fritscher, K D ^a   Schuler, B ^a   Roth, T ^b   Kammerlander, Ch ^b   Blauth, M ^b   Schubert, R ^a  

^a UNIVERSITY FOR HEALTH SCIENCES   (Austria)

^b INNSBRUCK MEDICAL UNIVERSITY   (Austria)

Author keywords

atlas based segmentation; demons registration; model guided registration

Indexed keywords

ATLAS-BASED SEGMENTATION; COMPUTATIONALLY EFFICIENT; COORDINATE SPACE; CURRENT DISPLACEMENT; DATA SETS; DEFORMABLE IMAGE REGISTRATION; DEFORMATION FIELD; DEFORMATION MODELS; DEMONS REGISTRATION; IMAGE ARTIFACTS; IMAGE NOISE; MODEL SPACES; NON-RIGID; REGISTRATION ALGORITHMS; REGISTRATION METHODS; REGISTRATION PROBLEMS; REGISTRATION PROCESS; SEGMENTATION ERROR; STATISTICAL DEFORMATION MODELS; STATISTICAL MODELS; TEST CONFIGURATIONS; VECTOR FIELDS;

ALGORITHMS; COMPUTERIZED TOMOGRAPHY; DEFORMATION; IMAGE PROCESSING; IMAGING SYSTEMS; ITERATIVE METHODS; VECTOR SPACES; VECTORS;

MEDICAL IMAGING;

EID: 79751474854     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.844134     Document Type: Conference Paper

References (16)

1. Michopoulou, S. K., Costaridou, L., Panagiotopoulos, E., Speller, R., Panayiotakis, G., Todd-Pokropek, G. A., "Atlas-Based Segmentation of Degenerated Lumbar Intervertebral Discs From MR Images of the Spine," IEEE Trans Biomed Eng 56(1), 2225-2231 (2009).
2. Ciofolo, C.,Barillot, C., "Atlas-based segmentation of 3D cerebral structures with competitive level sets and fuzzy control," Med Image Anal 13, 456-70(2009).
3. Zhuang, X., Rhode, K., Arridge, S., Razavi, R., Hill, D., Hawkes, D., Ourselin, S., "An atlas-based segmentation propagation framework locally affine registration - application to automatic whole heart segmentation," Med Image Comput Comput Assist Interv Int Conf Med Image Comput Comput Assist Interv 11, 425-33 (2008).
4. Rohlfing, T., Brandt, R., Menzel, R., Russakoff, D. B., Maurer Jr., C. R., "Quo Vadis , Atlas-Based Segmentation? ," in Handbook of Biomedical Image AnalysisVolume III: Registration Models ed: Springer US, 435-486 (2005).
5. Wells III, W.M., Viola, P., Atsumi, H., Nakajima, S., Kikinis, R., "Multi-modal volume registration by maximization of mutual information," Med Image Anal 1, 35-51 (1996).
6. Cootes, T. F., Hill, A., Taylor, C. J., Haslam, J., "The Use of Active Shape Models for Locating Structures in Medical Images," Image and Vision Computing 12,355-366 (1994).
7. Rohlfing, T., Brandt, R., Maurer Jr., C. R., Menzel, R., "Bee brains, B-splines and computational democracy: Generating an average shape atlas," IEEE Workshop on Mathematical Methods in Biomedical Imagin Analysis, 187-194 (2001).
8. Paclik, P., Duin, R.P.W., Van Kempen, G.M.P., Kohlus, R., "Segmentation of multi-spectral images using the combined classifier approach" Image and Vision Computing 21, 473-482 (2003).
9. Thirion, J.-P., "Image matching as a diffusion process: an analogy with Maxwell's demons," Medical Image Analysis 2, 243-260 (1998).
10. Cahill, N. D., Noble, J. A., Hawkes, D. J. "A Demons Algorithm for Image Registration with Locally Adaptive Regularization," Lecture Notes in Computer Science 5761, 574-581 (2009).
11. Vercauteren, T., Pennec, X., Perchant, A., Ayache, N., "Non-parametric diffeomorphic image registration with the demons algorithm," Med Image Comput Comput Assist Interv Int Conf Med Image Comput Comput Assist Interv 10, 319-26 (2007).
12. Mansi, T., Peyrat, J.-M., Sermesant, M., Delingette, H., Blanc, J., Boudjemline, Y., Ayache, N., "Physically-Constrained Diffeomorphic Demons for the Estimation of 3D Myocardium Strain from Cine-MRI" Lecture Notes in Computer Science 5528, 201-210 (2009).
13. Rueckert, D., Frangi, A. F., Schnabel, J. A., "Automatic Construction of 3-D Statistical Deformation Models of the Brain Using Nonrigid Registration," IEEE Trans Med Imaging 22, 1014-1025 (2001).
14. Fritscher, K. D., Schubert, R., "3D image segmentation by using statistical deformation models and level sets," International Journal of Computer Assisted Radiology and Surgery, 1(3), 123-135 (2006).
15. Styner, M., Gerig, G., Brechbuehler, Ch., Szekely, G., "Parametric estimate of intensity inhomogeneities applied to MRI," IEEE Trans Med Imaging, 19, 153-165 (2000).
16. Fritscher, K.D., Gruenerbl, A., Schubert, R., "3D image segmentation using combined shape-intensity prior models," International Journal of Computer Assisted Radiology and Surgery 1, 341-350 (2007).