Optimization-based interactive segmentation interface for multi-region problems
Document Type
Conference Proceeding
Publication Date
1-1-2015
Journal
Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume
9413
URL with Digital Object Identifier
10.1117/12.2081388
Abstract
© 2015 SPIE. Interactive segmentation is becoming of increasing interest to the medical imaging community in that it combines the postive aspects of both manual and automated segmentation. However, general purpose tools have been lacking in terms of segmenting multiple regions simultaneously with a high degree of coupling between groups of labels. Hierarchical max-ow segmentation has taken advantage of this coupling for individual applications, but until recently these algorithms were constrained to a particular hierarchy and could not be considered general-purpose. With generalized hierarchical max-ow segmentation, the hierarchy for any given segmentation problem is specified in run-time, allowing different hierarchies to be quickly explored. This paper presents a novel interactive segmentation interface, which uses generalized hierarchical max-ow for optimization-based multi-region segmentation guided by user-defined seeds. Applications in cardiac and neonatal brain segmentation are given as example applications of its generality.