Article ID Journal Published Year Pages File Type
723369 IFAC Proceedings Volumes 2006 6 Pages PDF
Abstract

In the framework of detection, diagnostic and treatment planning of tumors, the Positron Emission Tomography (PET) examination coupled with a Computed Tomography (CT) have become recently the most efficient technique. Manual segmentation of regions of interest (ROI) could be time consuming and this is necessary to obtain information about patient pathology. The aim of our study is to propose an automatic solution to this problem. This paper presents an approach of tumor segmentation based on a level set method. One critical step, the algorithm stopping, is automatic. The results obtained by the proposed method dealing with PET-CT images are encouraging.

Related Topics
Physical Sciences and Engineering Engineering Computational Mechanics
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