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[放射治疗计划中的自动图像分割]

[Automatic image segmentation for treatment planning in radiotherapy].

作者信息

Pasquier D, Peyrodie L, Denis F, Pointreau Y, Béra G, Lartigau E

机构信息

Centre Galilée, polyclinique de la Louvière, 69 rue de la Louvière, 59000 Lille, France.

出版信息

Cancer Radiother. 2010 Nov;14 Suppl 1:S6-13. doi: 10.1016/S1278-3218(10)70003-2.

Abstract

One drawback of the growth in conformal radiotherapy and image-guided radiotherapy is the increased time needed to define the volumes of interest. This also results in inter- and intra-observer variability. However, developments in computing and image processing have enabled these tasks to be partially or totally automated. This article will provide a detailed description of the main principles of image segmentation in radiotherapy, its applications and the most recent results in a clinical context.

摘要

适形放疗和图像引导放疗发展的一个缺点是确定感兴趣体积所需的时间增加。这也导致了观察者间和观察者内的变异性。然而,计算和图像处理技术的发展使这些任务能够部分或完全自动化。本文将详细描述放疗中图像分割的主要原理、其应用以及临床背景下的最新成果。

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