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Multiframe estimation of contour evolution in medical images | IEEE Conference Publication | IEEE Xplore

Multiframe estimation of contour evolution in medical images


Abstract:

A framework for temporal estimation of contour deformation in image sequences has been developed. The proposed solution for point-wise tracking finds, for a point, one op...Show More

Abstract:

A framework for temporal estimation of contour deformation in image sequences has been developed. The proposed solution for point-wise tracking finds, for a point, one optimum trajectory across multiple frames, in contrast with frame-to-frame tracking (2-frame). The multiframe approach aims (i) to find the complete point trajectory as the global optimal track over the space with multiple contours, and not as optimal sub-tracks concatenated over this set of contours; and (ii) take into account information from an extended time interval. The multiframe solution is framed as a shortest-path problem and uses the Dijkstra's algorithm. The method applies the dynamic programming technique to find the global trajectory. The algorithm requires no special initialization or markers. It is a non-invasive method and image modality independent. The usefulness of the multiframe tracking is illustrated using synthetic images. The method demonstrated to be consistent with methods published in the literature.
Date of Conference: 14-17 May 2008
Date Added to IEEE Xplore: 13 June 2008
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Conference Location: Paris, France

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