Volume matching with application in medical treatment planning

Authors:
Yam Ki Cheung;Ovidiu Daescu;Lech Papiez
Affiliations:
The University of Texas Southwestern Medical Center at Dallas, Richardson, Texas;The University of Texas at Dallas, Richardson, Texas;The University of Texas at Dallas, Dallas, Texas
Venue:
Proceedings of the 2nd ACM Conference on Bioinformatics, Computational Biology and Biomedicine
Year:
2011

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Abstract

Brachytherapy is an advanced cancer treatment method. The computation of the treatment plan is a difficult problem. One possible approach to get close to real time treatment planning is to reuse existing treatment plans. In this paper we address the problem of matching an input object (tumor) against a repository of model objects associated with known treatment plans such that the overlap volume is maximized. We refer to the matching of objects based on maximum overlap as volume matching.