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基于先验知识的颅脑CT图像自动化分割
引用本文:李传富,周康源,黄丹,陈曾胜,何力,王庆临. 基于先验知识的颅脑CT图像自动化分割[J]. 中国医疗器械杂志, 2004, 28(3): 168-171
作者姓名:李传富  周康源  黄丹  陈曾胜  何力  王庆临
作者单位:中国科学技术大学电子工程与信息科学系,安徽,合肥,230027
摘    要:利用颅脑CT图像各个主要组成区域的CT值分布差异和形态学特点等先验知识,以及DICOM图像文件提供的有关信息,实现了颅脑CT图像中包括头架,头皮,颅骨,脑脊液和脑实质等区域的完全自动化分割.该算法对复杂图像处理研究的预处理,可视化三维重建,脑萎缩定量诊断以及数字化脑图谱制作等方面均具有的应用价值.

关 键 词:先验知识  图像分割  CT值
文章编号:1671-7104(2004)03-0168-04
修稿时间:2003-11-11

A Knowledge-Based Automatic Segmentation of the Cerebral Computerized Tomography Images
LI Chuan-fu,ZHOU Kang-yuan,HUANG Dan,CHEN Zeng-sheng,HE Li,WANG Qing-lin Dept. of Electronic Engineering and Information Science,University of Science and Technology of China. A Knowledge-Based Automatic Segmentation of the Cerebral Computerized Tomography Images[J]. Chinese journal of medical instrumentation, 2004, 28(3): 168-171
Authors:LI Chuan-fu  ZHOU Kang-yuan  HUANG Dan  CHEN Zeng-sheng  HE Li  WANG Qing-lin Dept. of Electronic Engineering  Information Science  University of Science  Technology of China
Abstract:Based on the prior knowledge that there are distinct difference of CT values and morphologic characteristics amongdifferent regions of cerebral CT images, and some information stored in the DICOM file, we have been successful inautomatically segmenting the different regions of cerebral CT images, including the headrest, scalp, skull, CSF and thebrain. This method could be used as the pre-process of more advanced algorithm, 3D reconstruction, quantification ofcerebral atrophy and digital brain atlas.
Keywords:DICOM
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