Automated shape analysis of cerebral vessels from MR angiography images as a biomarker of atherosclerosis

从 MR 血管造影图像中自动分析脑血管形状作为动脉粥样硬化的生物标志物

• 批准号: 22611005
• 负责人: MASUMOTO Tomohiko
• 金额: $ 1.58万
• 依托单位: University of Tsukuba
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 2010
• 资助国家: 日本
• 起止时间: 2010 至 2012
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-22611005/
• 关键词: コンピュータ支援診断; MRI; 動脈硬化; 脳神経疾患

The aim of this study is to develop a biomarker of atherosclerosis by computer-assisted shape analysis of cerebral arteries from MRA data.First, we analyzed pilot data of 10 cases using multiscale morphological approach. We defined a feature value that caused a significant difference between a control group and an atherosclerosis group, as “shape regularity index of vessel (SRIV)”.Second, 51 cases were selected as a validation data set and divided into three groups by visual evaluation of vessel wall (Grade 0: no irregularity, Grade 1: mild irregularity, Grade 2: severe irregularity). A significant difference was found in SRIV value between Grade 0 and 1, and between Grade 1 and 2.We concluded that SRIV value had a correlation with vessel wall irregularity evaluated visually, and this value would be an objective biomarker of atherosclerosis.

本研究的目的是通过计算机辅助的脑动脉MRA数据的形状分析，开发动脉粥样硬化的生物标志物。首先，我们分析了10例试点数据，使用多尺度形态学方法。将对照组和动脉粥样硬化组之间存在显著差异的特征值定义为“血管形状规则性指数（SRIV）"。其次，选取51例患者作为验证数据集，通过血管壁的视觉评价将其分为3组（0级：无不规则，1级：轻度不规则，2级：重度不规则）。0级与1级、1级与2级之间SRIV值差异有统计学意义。结论：SRIV值与血管壁不规则性有相关性，可作为动脉粥样硬化的客观生物标志物。

项目成果

頭部MRAを用いた脳主幹動脈の血管形状不整の定量的評価に関する検討

头部MRA定量评价脑主动脉血管不规则性的研究

• 发表时间: 2012
• 作者: 増本 智彦,増谷 佳孝,椎 貝 真成,他