使用可重复客观量化方案（ROQS）对白质结构进行扩散张量成像分割。
Diffusion tensor imaging segmentation of white matter structures using a Reproducible Objective Quantification Scheme (ROQS).
作者信息
Niogi Sumit N, Mukherjee Pratik, McCandliss Bruce D
机构信息
Sackler Institute for Developmental Psychobiology, Weill Cornell Medical College, 1300 York Avenue, Box 140, New York, NY 10021, USA.
出版信息
Neuroimage. 2007 Mar;35(1):166-74. doi: 10.1016/j.neuroimage.2006.10.040. Epub 2007 Jan 4.
Abstract
Reproducible Objective Quantification Scheme (ROQS) is a novel method for regional white matter measurements of diffusion tensor imaging (DTI) parameters that overcomes the limitations of previous approaches for analyzing large cohorts of subjects reliably. ROQS is a semi-automated technique that exploits the fiber orientation information from the diffusion tensor in conjunction with a binary masking and chain-linking algorithm to segment anatomically distinct white matter tracts for subsequent quantitative analysis of DTI parameters such as fractional anisotropy and apparent diffusion coefficient. When applied to 3-T whole-brain DTI of normal adult volunteers, ROQS is shown to segment the corpus callosum much faster than manual region of interest (ROI) delineation, and with better reproducibility and accuracy.
摘要
可重复客观量化方案（ROQS）是一种用于扩散张量成像（DTI）参数区域白质测量的新方法，它克服了以往可靠分析大量受试者方法的局限性。ROQS是一种半自动技术，它利用扩散张量中的纤维取向信息，结合二元掩膜和链连接算法，对解剖学上不同的白质束进行分割，以便随后对DTI参数（如分数各向异性和表观扩散系数）进行定量分析。当应用于正常成年志愿者的3-T全脑DTI时，ROQS分割胼胝体的速度比手动感兴趣区域（ROI）描绘快得多，并且具有更好的可重复性和准确性。
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