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Title

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

Authors
Zhuang, Mingzan
Dierckx, Rudi A J O
Published in Medical Physics. 2016, vol. 43, no. 8, p. 4483
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.
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PMID: 27487865
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Article (Published version) (4 MB) - public document Free access
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Research group Imagerie Médicale (TEP et TEMP) (542)
Project FNS: SNF 31003A-149957
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(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. https://archive-ouverte.unige.ch/unige:90680

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Deposited on : 2016-12-21

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