首页> 外文会议> >Use of a Voxelwise Approach in the Analysis of Fractional Anisotropy Data in Multiple Sclerosis Patients
【24h】

Use of a Voxelwise Approach in the Analysis of Fractional Anisotropy Data in Multiple Sclerosis Patients

机译:在多发性硬化症患者的分数各向异性数据分析中使用Voxelwise方法

获取原文

摘要

Diffusion tensor magnetic resonance imaging (DTI) has the ability to provide non-invasive information on tissue microstructure not available in routine clinical MRI images. This includes information regarding the degree of anisotropy as well as the direction of the diffusion of water molecules within the tissues. Since white matter areas of the brain have an ordered structure (due to the myelination and directionality of axons) and thus a high degree of anisotropy, the ability to detect changes in anisotropy can be extremely useful in the study of diseases such as multiple sclerosis (MS), which involves the demyelination of axons. Several studies have used DTI to investigate well defined MS lesions as well as normal appearing white matter (NAWM) lesions not seen in conventional MR images. These studies have typically used region of interest (ROI) based approaches to analyze the data. However, studies using ROI based analysis techniques have several drawbacks. These include the time required to draw ROIs, the reproducibility of these ROIs, and the accuracy of placement of these ROIs, especially in NAWM regions where there is no a priori knowledge of the presence or absence of MS lesions. In this study, we have demonstrated the utilization of a semi-automated method for performing a voxelwise analysis in the detection of MS lesions
机译:扩散张量磁共振成像(DTI)具有提供常规临床MRI图像中未提供的组织微结构非侵入性信息的能力。这包括有关各向异性程度以及组织中水分子扩散方向的信息。由于大脑的白质区域具有有序的结构(由于轴突的髓鞘化和定向性),因此具有高度的各向异性,因此检测各向异性变化的能力在研究多发性硬化等疾病中非常有用( MS),其中涉及轴突脱髓鞘。几项研究已使用DTI来研究轮廓分明的MS病变以及常规MR图像中未见的正常出现的白质(NAWM)病变。这些研究通常使用基于感兴趣区域(ROI)的方法来分析数据。但是,使用基于ROI的分析技术进行的研究有几个缺点。这些包括绘制ROI所需的时间,这些ROI的可重复性以及这些ROI的放置准确性,尤其是在没有先验知识是否存在MS病变的NAWM地区。在这项研究中,我们证明了半自动方法在进行MS病变检测中进行体素分析的用途

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