4D Active Surfaces for Cardiac Analysis

Authors:
Anthony J. Yezzi;Allen Tannenbaum
Affiliations:
-;-
Venue:
MICCAI '02 Proceedings of the 5th International Conference on Medical Image Computing and Computer-Assisted Intervention-Part I
Year:
2002

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Abstract

In this note, we employ the geometric active contour models formulated in [5,11,19] for edge detection and segmentation to temporal MR cardiac images. The method is based on defining feature-based metrics on a given image which leads to a snake paradigm in which the feature of interest may be as the steady state of a curvature driven gradient flow. The implementation of the flow is done without level sets. This allow us to segment 4D sets directly, i.e., not as a series of 2D slices or a temporal series of 3D volumes.