Schultz Thomas
Computation Institute, University of Chicago, Chicago IL, USA.
Med Image Comput Comput Assist Interv. 2011;14(Pt 2):141-8. doi: 10.1007/978-3-642-23629-7_18.
The contrast provided by diffusion MRI has been exploited repeatedly for in vivo segmentations of thalamic nuclei. This paper systematically investigates the benefits of high-angular resolution (HARDI) data for this purpose. An empirical analysis of clustering stability reveals a clear advantage of acquiring HARDI data at b = 1000 s/mm2. However, based on stability arguments, as well as further visual and statistical evidence and theoretical insights about the impact of parameters, HARDI models such as the q-ball do not exhibit clear benefits over the standard diffusion tensor for thalamus segmentation at this b value.
扩散磁共振成像（MRI）所提供的对比度已被反复用于丘脑核的体内分割。本文系统地研究了高角分辨率扩散成像（HARDI）数据在此方面的优势。对聚类稳定性的实证分析表明，在b = 1000 s/mm2时获取HARDI数据具有明显优势。然而，基于稳定性论据以及关于参数影响的进一步视觉和统计证据及理论见解，在该b值下，诸如q球等HARDI模型在丘脑分割方面相对于标准扩散张量并未表现出明显优势。
