Interpretation of Diffusion MR Imaging Data Using Non-negative Least Squares (NNLS).

IF 3.2
Koichi Oshio, Katsuhiro Sano, Hiroshi Kusahara, Koji Kamagata, Shigeki Aoki
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Abstract

The interpretation of abdominal diffusion images remains difficult because different types of tissue coexist within each voxel. In this study, we estimated the distribution of the diffusion coefficient (D) within each voxel using non-negative least squares from diffusion-weighted images with multiple b-values. Additionally, a method for visualizing the results as a set of images representing the D ranges was developed. This method was tested on healthy volunteers.

利用非负最小二乘(NNLS)解释扩散磁共振成像数据。
腹部扩散图像的解释仍然很困难,因为不同类型的组织共存于每个体素内。在本研究中,我们使用具有多个b值的扩散加权图像的非负最小二乘估计了扩散系数(D)在每个体素内的分布。此外,还开发了一种将结果可视化为表示D范围的一组图像的方法。这种方法在健康志愿者身上进行了试验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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