Segmentation of the brain from 3D MRI using a hierarchical active surface template

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 2167, Issue , 1994, Pages 2-9

  Snell, J W ^a   Mericke, M B ^a   Ortega, J M ^a   Goble, J C ^a   Brookemant, J R ^a   Kassell, N F ^a  

^a UNIVERSITY OF VIRGINIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE SEGMENTATION; MAGNETIC RESONANCE IMAGING; THREE DIMENSIONAL COMPUTER GRAPHICS;

DEFORMABLE SURFACE MODELS; ENERGY MINIMIZATION; INTRAOPERATIVE NAVIGATION; LOCAL IMAGE FEATURES; SEGMENTATION PROCESS; SEGMENTATION RESULTS; SEGMENTATION SCHEME; SURFACE CONFIGURATION;

MEDICAL IMAGE PROCESSING;

EID: 33749763261     PISSN: 0277786X     EISSN: 1996756X     Source Type: Conference Proceeding    
DOI: 10.1117/12.175044     Document Type: Conference Paper

References (15)

1. Snell, J.W. et al, "Model-Based Segmentation of the Brain from 3-D MRI Using Active Surfaces, " Proceedings ofthe SPIE Conference on Medical Imaging, Newport Beach, (1993).
2. Blake, A. and A. Yuille, Active Vision, MIT Press, Cambridge, MA, (1992).
3. Kass, M., A. Witkin and D. Terzopoulos, "Snakes: Active Contour Models, " Int'l J. ofComputer Vision, 1(4), 321-33 1, (1987).
4. Terzopoulos, D., A. Witkin, and M. Kass., "Constraints on Defonnable Models: Recovering 3D Shape and Nonrigid Motion, " Artificial intelligence, 36, 91-123, (1988a).
5. Terzopoulos, D., and A. Witkin., "Physically Based Models with Rigid and Deformable Components, " IEEE CGA, 41-5 1, (1988b).
6. Terzopoulos, D. and D. Metaxas., "Dynamic 3D Models with Local and Global Deformations: Deformable Superquadrics, " IEEE Trans. PAMI, 13(7), 703-714, (1991).
7. Terzopoulos, D., "Regularization of Inverse Visual Problems Involving Discontinuities, " PAMI, 8, 413-424, (1986).
8. Mullikin, JC., "The Vector Distance Transform in Two and Three Dimensions, " CVGIP, 53, 76-87, (1991).
9. Lapidus, L. and Pinder, G., Numerical Solution of Partial Differential Equations in Science and Engineering, John Wiley & Sons, (1982).
10. Golub, G. and J. Ortega, Scientific Computing and Differential Equations, Academic Press, (1991).
11. Talairach, J. and P. Tournoux., Co-Planar Sterotaxic Atlas of the Human Brain-3-Dimensional Pmportional System: An Approach to Cerebral Imaging, G.T. Verlag, New York, (1988).
12. Mugler, M, J.P. and J.R. Brookeman, "Three-Dimensional Magnetization-Prepared Rapid Gradient-Echo Imaging (3D MPRAGE), " Mag Res Med, 15, 152-157, (1990).
13. Greitz, T, C.C. Bohm, S. Holte and L. Eriksson, "A Computerized Brain Atlas: Construction, Anatomical Content, and Some Applications, " J. Comp. Ass't Tomography, 15(1), 26-38, (1991).
14. Höhne, K.H., boman S., M. Riemer, R. Shubert et al, "A Volume-based Anatomical Atlas, " IEEE CGA, 12(4), 72-78, (1992).
15. Grzeszczuk, R.P. and D.N. Levin, "Segmenting Images by Stochastic contour Optimization, " Proceedings of the Society of Magnetic Resonance in Medicine, New York, (1993).