Zijdenbos A P, Dawant B M, Margolin R A
Department of Electrical Engineering, Vanderbilt University, Nashville, TN 37235.
Comput Med Imaging Graph. 1994 Jan-Feb;18(1):11-23. doi: 10.1016/0895-6111(94)90057-4.
Segmentation of the intracranial cavity in medical images is valuable in several research areas such as the quantitative analysis of normal and abnormal brain tissues, the registration of different imaging modalities (MRI, PET, CT) based on surface models of the brain, and the rendering of volume data. Because the manual delineation of the brain contour in the images can be demanding and error prone, an automatic procedure to perform this task is desirable. We have developed and tested a robust method that permits the automatic detection of the intracranial contour in transverse MR images. The method is described and its performance evaluated.
医学图像中颅内腔的分割在多个研究领域都具有重要价值，比如对正常和异常脑组织进行定量分析、基于脑表面模型对不同成像模态（MRI、PET、CT）进行配准以及对体数据进行渲染。由于手动描绘图像中的脑轮廓既费力又容易出错，因此需要一种自动程序来执行此任务。我们已经开发并测试了一种强大的方法，该方法能够自动检测横向MR图像中的颅内轮廓。本文将对该方法进行描述并评估其性能。
