A Knowledge-Based Automatic Segmentation of the Cerebral Computerized Tomography Images
A Knowledge-Based Automatic Segmentation of the Cerebral Computerized Tomography Images
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发表时间：
2004
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通讯作者：
Li Chuan-f
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作者：
Li Chuan-f
基于头枕、头皮、头骨、脑脊液和脑的CT图像不同区域的CT值和形态特征存在明显差异的先验知识，以及DICOM文件中存储的一些信息，我们成功地实现了头枕、头皮、颅骨、脑脊液和脑的自动分割。该方法可作为更先进的算法、三维重建、脑萎缩量化和数字脑图谱的前处理。
Based on the prior knowledge that there are distinct difference of CT values and morphologic characteristics among different regions of cerebral CT images, and some information stored in the DICOM file, we have been successful in automatically segmenting the different regions of cerebral CT images, including the headrest, scalp, skull, CSF and the brain. This method could be used as the pre-process of more advanced algorithm, 3D reconstruction, quantification of cerebral atrophy and digital brain atlas.