首页> 外文会议>Multimodal Brain Image Analysis >Improved Tissue Segmentation by Including an MR Acquisition Model
【24h】

Improved Tissue Segmentation by Including an MR Acquisition Model

机译:通过包括MR采集模型来改进组织分割

获取原文
获取原文并翻译 | 示例

摘要

This paper presents a new MR tissue segmentation method. In contrast to most previous methods the image formation model includes the point spread function of the image acquisition. This allows optimal combination of images acquired with different contrast weighting, resolutions, and orientations. The proposed method computes the regularized maximum likelihood partial volume segmentation from the images. The quality the resulting segmentation is studied with a simulation experiment and by testing the reproducibility of the segmentation on repeated brain MRI scans. Our results demonstrate improved segmentation quality, especially at tissue edges.
机译:本文提出了一种新的MR组织分割方法。与大多数以前的方法相比,图像形成模型包括图像采集的点扩展功能。这允许以不同的对比度权重,分辨率和方向获取的图像的最佳组合。所提出的方法从图像计算正则化的最大似然部分体积分割。通过模拟实验并通过在重复的脑部MRI扫描中测试分割的可重复性来研究分割结果的质量。我们的结果证明了改进的分割质量,尤其是在组织边缘。

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