首页> 外文会议>International conference on medical imaging computing and computer-assisted intervention >A Cross-Sectional Piecewise Constant Model for Segmenting Highly Curved Fiber Tracts in Diffusion MR Images
【24h】

A Cross-Sectional Piecewise Constant Model for Segmenting Highly Curved Fiber Tracts in Diffusion MR Images

机译:分段分段分段常数模型,用于分割高度弯曲光纤散射MR图像

获取原文

摘要

We propose a cross-sectional piecewise constant model for the segmentation of highly curved fiber tracts in diffusion MRI scans. An "anchor curve", obtained via tractography, provides the overall shape of the tract and allows us to examine the tract's microstructure at the level of cross-sectional planes normal to the curve. Each cross-section is modeled as a piecewise constant image, allowing us to address changes in measured diffusion due to the curving of the tract while still capturing overall tract structure. Results on both synthetic and real data show improved segmentation quality compared to state-of-the-art methods, particularly in areas of crossing fibers.
机译:我们提出了一种横截面分段恒定模型,用于扩散MRI扫描中高度弯曲的纤维束的分割。通过牵引物获得的“锚曲线”提供了道路的整体形状,并允许我们在正常到曲线的横截面的横截面水平处检查道的微观结构。每个横截面被建模为分段恒定图像,允许我们由于仍然捕获整体道结构而导致由于弯曲的弯曲导致的测量扩散的变化。合成和实际数据的结果显示出与最先进的方法相比的分割质量,特别是在交叉纤维的区域。

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