【24h】

A Multi-Dimension Method for Brain Tissue Segmentation

机译:多维的脑组织分割方法

获取原文

摘要

The paper presents a novel method of multi-dimension brain tissue segmentation. Firstly, the ventricle extraction and strip-skull are adopted by level set method and regions merging with tags. Secondly, the noise of the spinal fluid is eliminated through improved level set method. Finally, the gray matter and white matter are extracted through covered background method and the brain tissue is segmented. The method is generally applies to image 2D and 3D segmentation, The accuracy, commonality and practicality are proved by the results in the experiments.
机译:本文提出了一种多维脑组织分割的新方法。首先,通过水平集方法和区域与标签合并,采用心室提取和带状颅骨。其次,通过改进的水平设定方法消除了脊髓液的噪音。最后,通过覆盖背景法提取了灰质和白质,并对脑组织进行了分割。该方法一般适用于图像的2D和3D分割,实验结果证明了该方法的准确性,通用性和实用性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号