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Erschienen in:
2011 | OriginalPaper | Buchkapitel
Colorectal Polyp Segmentation Based on Geodesic Active Contours with a Shape-Prior Model
verfasst von : Haiyong Xu, H. Donald Gage, Pete Santago, Yaorong Ge
Erschienen in: Virtual Colonoscopy and Abdominal Imaging. Computational Challenges and Clinical Opportunities
Verlag: Springer Berlin Heidelberg
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Automated polyp segmentation is important both in measuring polyp size and in improving polyp detection performance in CTC. We present a polyp segmentation method that is based on the combination of geodesic active contours and a shape-prior model of polyps. To train the shape model, polyps identified by radiologists are grouped by morphologic characteristics. Each group of polyps is used for building a shape-prior model. Then the geodesic active contours method is employed to segment polyps constrained by this shape-prior model. This method can reliably segment polyp boundaries even where the image contrast is not sufficient to define a boundary between a polyp and its surrounding colon tissue. As a pilot study, we developed one polyp shape-prior model for sessile polyps that are located on a relatively flat colon wall. We use the model to segment similar polyps, and the results are evaluated visually.