Computerised cortex boundary extraction from MR images

Details Computerised cortex boundary extraction from MR images Computerised cortex boundary extraction from MR images

2005-05-13

2011-10-04

Bhatnagar, Anand (Department: 2624)

Image analysis

Applications

Biomedical applications

C378S004000, C128S922000

Reexamination Certificate

active

08031919

ABSTRACT:
Method for processing digital images, such as magnetic resonance images of a brain. The images contain a first object, for example the cerebrum white matter, a second object, for example the cerebral cortex, and a third object, for example the cerebrospinal fluid. The method involves providing a digital dataset representing a deformable curve or surface that in an initial state approximates the boundary between the first object and the second object. Further, a vector force field is provided that for each point on the deformable curve or surface defines a direction from the point approximately towards the second boundary between the second and the third object, and this vector force field is applied for iteratively deforming the deformable curve or surface convergently towards the second boundary. In order to reconstruct a folded structure of the second object, for example the cortex, the vector force field also involves a normal vector field with a vector normal or approximately normal to the deformable curve or surface for each point on the deformable curve or surface.

REFERENCES:
patent: 4710876 (1987-12-01), Cline et al.
patent: 4885688 (1989-12-01), Crawford
patent: 6535623 (2003-03-01), Tannenbaum et al.
patent: 6591004 (2003-07-01), VanEssen et al.
patent: 6721450 (2004-04-01), Tannenbaum et al.
patent: 6813373 (2004-11-01), Suri et al.
patent: 7079674 (2006-07-01), Paragios et al.
patent: 2003/0142868 (2003-07-01), Tannenbaum et al.
Kass et al.;Snakes: Active Contour Models; International Journal of Computer Vision; 1988; pp. 321-331 (1988) Kluwer Academic Publishers, Boston, obtained through Google search.
Cohen et al.;Finite-Element Methods for Active Contour Models and Balloons for 2-D and 3-D Images; IEEE Transactions on Pattern Analysis and Machine Intell., vol. 15, No. 11, Nov. 1993, pp. 1131-1147.
MacDonald et al.;Automated 3-D Extraction of Inner and Outer Surfaces of Cerebral Cortex from MRI; Neurology, vol. 12, pp. 340-356; 2000; Academic Press.
Dale et al.;Cortical Surface-Based Analysis; Neurolmage, vol. 9, pp. 179-194, 1999; Academic Press.
Chenyang Xu et al.;Reconstruction of the Human Cerebral Cortex from Magnetic Resonance Images; IEEE Transactions on Medical Imaging, vol. 18, No. 6; Jun. 1999; pp. 467-480.
Xiao Han et al.;Cortical Surface Reconstruction Using a Topology Preserving Geometric Deformable Model; IEEE Workshop on Mathematical Models in Biomedical Image Analysis; Kauai, HI; 2001.
Chenyang Xu et al.;Gradient Vector Flow: A New External Force for Snakes; Proc. of IEEE Conference on Computer Vision Pattern Recognition (CVPR); pp. 66-71; 1997.
Jasjit Suri et al.;Computer Vision and Pattern Recognition Techniques for 2-D and 3-D MR Cerebral Cortical Segmentation; Pattern Analysis & Applications, vol. 5, pp. 46-76; Springer-Verlag Limited.
Moller, Tomas;A Fast Triangle-Triangle Intersection Test; Journal of Graphics Tools; vol. 2, pp. 25-30; 1997.
Xiao Han et al.;Topology Correction in Brain Cortex Segmentation Using a Multiscale, Graph-based Algorithm; IEEE Transactions on Medical Imaging; vol. XX, 2002; pp.1-13.
McInerney et al.;Toplogy Adaptive Deformable Surfaces for Medical Image Volume Segmentation; IEEE Transactions on Medical Imaging; vol. 18, No. 10, Oct. 1999; pp. 840-850.
Fischl et al.;Automated Manifold Surgery: Constructing Geometricall Accurate and Topolgically Correct Models of the Human Cerebral Cortex; IEEE Transactions on Medical Imaging, vol. 20, No. 1, Jan. 2001; pp. 70-80.
MacDonald, J. David;A Method for Identifying Geometrically simple Surfaces from Three Dimensional Images; PhD Thesis, McGill University, Montreal, Canada 1997.
Williams et al.;A Fast Algorithm for Active Contours; Third International Conference on Computer Vision; IEEE, 1990; pp. 592-595.
Chenyang Xu;Deformable Models with Application to Human Cerebral Cortex Reconstruction from Magnetic Resonance Images; Ph.D Dissertation; John Hopkins University, Baltimore, MD 1999.
Stytz et al.;Three Dimensional Medical Imaging: Algorithms and Computer Systems; ACM Computing Surveys, vol. 23, No. 4; Dec. 1991; pp. 422-499.
Davatzikos et al.;Using a deformable Surface Model to Obtain a Shape Representation of the Cortex; IEEE Transactions on Medical Imaging, vol. 15, No. 6, Dec. 1996; pp. 783-795.
McInerney et al.;T-snakes: Topology adaptive snakes, Medical Image Analysis, vol. 4, 2000, Elsevier Science B.V.; pp. 73-91.

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