14 February 2012 Segmentation of parotid glands in head and neck CT images using a constrained active shape model with landmark uncertainty
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Abstract
Automatic segmentation of parotid glands in head and neck CT images for IMRT planning has drawn attention in recent years. Although previous approaches have achieved substantial success by reaching high overall volume-wise accuracy, suboptimal segmentations are observed on the interior boundary of the gland where the contrast is poor against the adjacent muscle groups. Herein we propose to use a constrained active shape model with landmark uncertainty to improve the segmentation in this area. Results obtained using this method are compared with results obtained using a regular active shape model through a leave-one-out experiment.
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Antong Chen, Antong Chen, Jack H. Noble, Jack H. Noble, Kenneth J. Niermann, Kenneth J. Niermann, Matthew A. Deeley, Matthew A. Deeley, Benoit M. Dawant, Benoit M. Dawant, } "Segmentation of parotid glands in head and neck CT images using a constrained active shape model with landmark uncertainty", Proc. SPIE 8314, Medical Imaging 2012: Image Processing, 83140P (14 February 2012); doi: 10.1117/12.911534; https://doi.org/10.1117/12.911534
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