期刊
MEDICAL IMAGE ANALYSIS
卷 15, 期 6, 页码 877-884出版社
ELSEVIER
DOI: 10.1016/j.media.2011.05.001
关键词
Optic nerves; Chiasm; Optimal paths; Radiation therapy; Model-based segmentation
类别
资金
- National Institute of Biomedical Imaging and Bioengineering [R01EB006193]
- National Institute of Deafness and Other Communication Disorders [F31DC009791]
In recent years, radiation therapy has become the preferred treatment for many types of head and neck tumors. To plan the procedure, vital structures, including the optic nerves and chiasm, must be identified using CT/MR imagery. In this work we present a novel method for automatically localizing the optic nerves and chiasm using a tubular structure localization algorithm in which a statistical model and image registration are used to incorporate a priori local intensity and shape information. The method results in mean Dice coefficients of 0.8 when compared to manual segmentations over ten test cases. This suggests that our method is more accurate than existing techniques developed for the segmentation of these structures. (C) 2011 Elsevier B.V. All rights reserved.
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