Scientific article
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English

Generic and robust method for automatic segmentation of PET images using an active contour model

Published inMedical physics, vol. 43, no. 8, p. 4483-4494
Publication date2016
Abstract

Although positron emission tomography (PET) images have shown potential to improve the accuracy of targeting in radiation therapy planning and assessment of response to treatment, the boundaries of tumors are not easily distinguishable from surrounding normal tissue owing to the low spatial resolution and inherent noisy characteristics of PET images. The objective of this study is to develop a generic and robust method for automatic delineation of tumor volumes using an active contour model and to evaluate its performance using phantom and clinical studies.

Citation (ISO format)
ZHUANG, Mingzan, DIERCKX, Rudi A J O, ZAIDI, Habib. Generic and robust method for automatic segmentation of PET images using an active contour model. In: Medical physics, 2016, vol. 43, n° 8, p. 4483–4494. doi: 10.1118/1.4954844
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accessLevelPublic
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Journal ISSN0094-2405
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Creation25/11/2016 10:19:00
First validation25/11/2016 10:19:00
Update time15/03/2023 02:14:16
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