Comparative evaluation of active contour model extensions for automated cardiac MR image segmentation by regional error assessment

摘要

In the field of cardiac MR image segmentation, active contour models, or snakes have been extensively used, owing to their promising results and to the numerous extensions proposed to improve their performance. This paper explores a methodology for evaluating cardiac MR image segmentation algorithms, which assesses the distance between computer-generated and the observer’s hand-outlined boundaries. This metric was applied to various external force extensions of the traditional snake, since no systematic comparison has been performed.