Automated segmentation of MR images of brain tumors
Automated segmentation of MR images of brain tumors
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DOI：
10.1148/radiology.218.2.r01fe44586
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发表时间：
2001-02-01
期刊：
影响因子：
19.7
通讯作者：
Kikinis, R
中科院分区：
文献类型：
--
作者：
Kaus, MR;Warfield, SK;Kikinis, R
开发了一种自动脑肿瘤分割方法，并在20例脑膜瘤和低级别胶质瘤患者的三维磁共振图像中对手动分割进行了验证。自动化方法（操作时间，5-10分钟）允许快速识别脑和肿瘤组织，其准确性和可重复性与手动分割（操作时间，3-5小时）相当，使自动分割适用于低级别胶质瘤和脑膜瘤。
An automated brain tumor segmentation method was developed and validated against manual segmentation with three-dimensional magnetic resonance images in 20 patients with meningiomas and low-grade gliomas. The automated method (operator time, 5-10 minutes) allowed rapid identification of brain and tumor tissue with an accuracy and reproducibility comparable to those of manual segmentation (operator time, 3-5 hours), making automated segmentation practical for low-grade gliomas and meningiomas.