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Journal of Medical Imaging

Optimization-based interactive segmentation interface for multiregion problems
Author(s): John S. H. Baxter; Martin Rajchl; Terry M. Peters; Elvis C. S. Chen
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Paper Abstract

Interactive segmentation is becoming of increasing interest to the medical imaging community in that it combines the positive 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-flow 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. In a generalized form, the hierarchy for any given segmentation problem is specified in run-time, allowing different hierarchies to be quickly explored. We present an interactive segmentation interface, which uses generalized hierarchical max-flow for optimization-based multiregion segmentation guided by user-defined seeds. Applications in cardiac and neonatal brain segmentation are given as example applications of its generality.

Paper Details

Date Published: 14 June 2016
PDF: 9 pages
J. Med. Imag. 3(2) 024003 doi: 10.1117/1.JMI.3.2.024003
Published in: Journal of Medical Imaging Volume 3, Issue 2
Show Author Affiliations
John S. H. Baxter, Robarts Research Institute (Canada)
Martin Rajchl, Robarts Research Institute (Canada)
Imperial College London (United Kingdom)
Terry M. Peters, Robarts Research Institute (Canada)
Elvis C. S. Chen, Robarts Research Institute (Canada)

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