Atlas-based segmentation using level sets and fuzzy labels

Lecture Notes in Computer Science

Volumn 3216, Issue PART 1, 2004, Pages 310-317

  Ciofolo, Cybèle ^a  

^a CAMPUS DE BEAULIEU   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; DATABASE SYSTEMS; FUZZY SETS; IMAGE ANALYSIS; MEDICAL IMAGING; TISSUE; IMAGE SEGMENTATION; MAGNETIC RESONANCE IMAGING;

ANATOMICAL STRUCTURES; SEGMENTATION ACCURACY; VOLUMETRIC STRUCTURES; WHITE MATTER; ATLAS-BASED SEGMENTATION; BRAINWEB DATASET; FUZZY DECISION SYSTEM; LEVEL-SET EVOLUTION; REGULARIZATION TERMS; RIGHT HEMISPHERES; STOPPING CRITERIA;

IMAGE SEGMENTATION; NUMERICAL METHODS;

EID: 20344397124     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-30135-6_38     Document Type: Conference Paper

References (8)

1. Baillard, C., Barillot, C.: Robust 3D Segmentation of Anatomical Structures with Level Sets. Proceedings of MICCAI (2000), 236-245
2. Bouchon-Meunier, B.: La logique floue et ses applications. Addison-Wesley (1995)
3. Caselles, V., Kimmel, R., Sapiro, G.: Geodesic Active Contours. Int. Journal of Computer Vision, Vol 22 (1997) 1 61-79
4. Ciofolo, C., Barillot, C., Hellier, P.: Combining Fuzzy Logic and Level Set Methods for 3D MRI Brain Segmentation. Proceedings of the IEEE International Symposium on Biomedical Imaging (2004)
5. Collins, D. L., Zijdenbos, A.P., Kollokian, V., Sled, J.G., Kabani, N.J., Holmes, C.J., Evans, A.C.: Multimodality Imaging - Design and Construction of a Realistic Digital Brain Phantom. IEEE Transactions on Medical Imaging, Vol 17 3 (1998) 463-468
6. Osher, S., Sethian, J.A.: Fronts Propagating with Curvature Dependant Speed: Algorithms Based on Hamilton-Jacobi Formulation. Journal of Computational Physics, Vol 79 (1998) 12-49
7. Paragios, N.: A Variational Approach for the Segmentation of the Left Ventricle. Int. Journal of Computer Vision, Vol 50 (2002) 3 345-362
8. Yezzi Jr., A., Tsai, A., Willsky, A. A Statistical Approach to Snakes for Bimodal and Trimodal Imagery. Proceedings of the IEEE Conference on Computer Vision (1999)