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机构地区:[1]东北大学中荷生物医学与信息工程学院,沈阳110004 [2]东软医疗系统有限公司,沈阳110179
出 处:《生物医学工程学杂志》2012年第5期967-973,共7页Journal of Biomedical Engineering
基 金:国家自然科学基金资助项目(61071213)
摘 要:结肠癌是癌症致死的主要原因之一,而虚拟结肠镜在结肠癌的早期诊断中发挥着重要的作用。有效的结肠分割是构建虚拟结肠镜的基础,口服对比剂标记残便,可以最大程度地减少泻药的使用量,但是同时也给结肠分割带来一定的困难。同时由于部分容积效应,使得空气和标记物边界的CT值跨越很宽的范围,不容易被消除。本文提出一种有效的结肠分割方法,首先采用阈值法分割空气区域,然后采用发射射线法和基于统计信息的区域生长法来分割标记物区域,再采用形态学操作子膨胀和腐蚀去除空气-标记物边界,同时保存结肠内部的褶皱。实验表明该算法分割结果与手动分割结果的重合率高达93.4%。Colon cancer is one of the leading causes of cancer-related deaths, while the virtual eolonoscopy plays an important role in the early detection of colon cancer. Effective colon segmentation is the basis of virtual colonoscopy. Oral contrast agent can reduce the use of laxatives, but it can to bring some difficulties in the colon segmentation. Because of the partial volume effect, the CT value of air-tagging boundary span a wide range, which are not easily eliminated. We present an effective method of colon segmentation in this paper. Firstly, we used adaptive threshold method to extract air area. Then we segmented tagging region and removed air-tagging boundary by segment region growing method based on statistical information and morphological operation. The experiments showed that the agreement between the results by manual and by orithm segmentation reached 93.4 ~.
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