Topological correction of subcortical segmentation

Lecture Notes in Computer Science

Volumn 2879, Issue PART 2, 2003, Pages 695-702

  Ségonne, Florent ^a,b   Grimson, Eric ^a   Fischl, Bruce ^a,b  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b MASSACHUSETTS GENERAL HOSPITAL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BRAIN; COMPUTATIONAL GEOMETRY; COSTS; DECISION MAKING; ERROR CORRECTION; OPTIMIZATION; SET THEORY; TOPOLOGY; MEDICAL COMPUTING; MEDICAL IMAGING;

COST DECISIONS; DIGITAL CONNECTIVITY; SHAPE ANALYSIS; SUBCORTICAL SEGMENTATION; CONNECTED COMPONENT; CORTICAL STRUCTURES; FULL CONNECTIVITIES; INITIAL SEGMENTATION; SPHERICAL TOPOLOGY; SUCCESSIVE MINIMA;

IMAGE SEGMENTATION;

EID: 11244261140     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-39903-2_85     Document Type: Conference Paper

References (14)

1. J.-F. Mangin, V. Frouin, I. Bloch, J. Regis, and J. Lopez-Krahe, "From 3D magnetic resonance images to structural representations of the cortex topography using topology preserving deformations," Journal of Mathematical Imaging and Vision, vol. 5, pp.297-318, 1995.
2. F. Poupon and J.-F. Mangin and D. Hasboun and C. Poupon and I. Magnin and V. Frouin, "Multi-object Deformable Templates Dedicated to the Segmentation of Brain Deep Structures", Lecture Notes in Computer Science, vol. 1496, pp. 1134-1143, 1998.
3. S. Bischoff, and L. Kobbelt, "Isosurface Reconstruction with Topology Control," Pacific Graphics 2002 Proceedings,pp. 246-255.
4. D. MacDonald, "A Method for Identifying Geometrically Simple Surfaces from Three Dimensional Images", in Montreal Neurological Institute. 1998, McGill University: Montreal.
5. Davatzikos, C. and R.N. Bryan, "Using a Deformable Surface Model to Obtain a Shape Representation of the Cortex". IEEE Trans. on Medical Imaging, 1996. 15: p. 785-795.
6. D. W. Shattuck and R. Leahy, "Automated Graph-Based Analysis and Correction of Cortical Volume Topology," NeuroImage, vol. 14, pp. 329-346, 2001.
7. X. Han, C. Xu, U. Braga-Neto, and J. L. Prince, "Topology correction in brain cortex segmentation using a multiscale, graph-based approach," IEEE Trans. Med. Imag., vol. 21(2): 109-121, 2002.
8. N. Kriegeskorte and R. Goeble, "An efficient algorithm for topologically segmentation of the cortical sheet in anatomical mr volumes. NeuroImage, vol. 14, pp. 329-346, 2001.
9. B. Fischl, A. Liu, and A. M. Dale, "Automated manifold surgery: Constructing geometrically accurate and topologically correct models of the human cerebral cortex," IEEE Trans. Med. Imag., vol. 20, pp. 70-80, 2001.
10. I. Guskov and Z. Wood, "Topological noise removal," GI 2001 proceedings, pp. 19-26, 2001.
11. G. Bertrand, "Simple Points, topological numbers and geodesic meighborhood in cubid grids," Pattern Recognition Letters, vol. 15, pp. 1003-1011, 1994.
12. G. Bertrand, "A boolean characterization of three-dimensional simple points," Pattern recognition letters, vol. 17, pp.115-124, 1996.
13. B. Fischl et al. "Whole Brain Segmentation: Automated Labeling of Neuroanatomical Structures in the Human Brain". Neuron, vol. 33,pp. 341-355, 2002.
14. B. Natarajan, "On generating topologically consistent isosurfaces from uniform samples," The Visual Computer, vol. 11(1), pp. 52-62, 1994.