Comput Math Methods Med - Esophagus segmentation from 3D CT data using skeleton prior-based graph cut.

Tópicos

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Resumo

The segmentation of organs at risk in CT volumes is a prerequisite for radiotherapy treatment planning. In this paper, we focus on esophagus segmentation, a challenging application since the wall of the esophagus, made of muscle tissue, has very low contrast in CT images. We propose in this paper an original method to segment in thoracic CT scans the 3D esophagus using a skeleton-shape model to guide the segmentation. Our method is composed of two steps: a 3D segmentation by graph cut with skeleton prior, followed by a 2D propagation. Our method yields encouraging results over 6 patients.

Resumo Limpo

segment organ risk ct volum prerequisit radiotherapi treatment plan paper focus esophagus segment challeng applic sinc wall esophagus made muscl tissu low contrast ct imag propos paper origin method segment thorac ct scan d esophagus use skeletonshap model guid segment method compos two step d segment graph cut skeleton prior follow d propag method yield encourag result patient

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