Automated medical image segmentation techniques.
Automated medical image segmentation techniques.
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DOI：
10.4103/0971-6203.58777
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发表时间：
2010-01
影响因子：
0.9
通讯作者：
Aggarwal LM
中科院分区：
文献类型：
--
作者：
Sharma N;Aggarwal LM
医学图像的精确分割是放射治疗计划中轮廓绘制的关键步骤。计算机断层扫描（CT）和磁共振（MR）成像是诊断、临床研究和治疗计划中使用最广泛的放射学技术。该综述提供了自动分割方法的详细信息，特别是在CT和MR图像的背景下进行了讨论。目的是讨论CT和MR图像分割中遇到的问题，以及目前可用于医学图像分割的方法的相对优点和局限性。
Accurate segmentation of medical images is a key step in contouring during radiotherapy planning. Computed topography (CT) and Magnetic resonance (MR) imaging are the most widely used radiographic techniques in diagnosis, clinical studies and treatment planning. This review provides details of automated segmentation methods, specifically discussed in the context of CT and MR images. The motive is to discuss the problems encountered in segmentation of CT and MR images, and the relative merits and limitations of methods currently available for segmentation of medical images.