Vessel detection by mean shift based ray propagation

Details Vessel detection by mean shift based ray propagation Vessel detection by mean shift based ray propagation

2005-09-20

2005-09-20

Hjerpe, Richard (Department: 2671)

Computer graphics processing and selective visual display system

Computer graphics processing

Three-dimension

C345S428000, C382S128000, C382S173000

Reexamination Certificate

active

06947040

ABSTRACT:
A method for segmentation of 2D structures in CT and MR images is provided. The method is based on 2D ray propagation by mean-shift analysis with a smoothness constraint. Ray propagation is used to guide an evolving curve due to its computational efficiency and shape priors are incorporated for robust convergence. The method includes the steps of receiving 2D image data; visualizing the 2D image data on a display device; selecting a structure in the 2D image data by placing a seed in the structure; initializing a plurality of rays from the seed to form a curve; determining a speed function of each of the rays; evolving the curve by propagating the rays based on the speed function of each of the rays; converging the rays on a boundary of the structure; and segmenting the structure when all of the rays have converged on the structure's boundary.

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Hwang et al., “Atherosclerotic plaque segmentation at human carotid artery based on multiple constrast weighting MR images”, Image Processing 2001 Proceedings. 2001 International Conference on, vol. 2, Oct. 7-10, 2001 Page(s):849-852 vol. 2.
Comaniciu, and Meer. Mean Shift Analysis and Applications, Sep. 20-27, 1999, IEEE.
Dorin Comaniciu, Peter Meer, Mean Shift Analysis and Applications, Rutgers University, Piscataway, New Jersey, pp. 1-8.

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