基于自动分割技术联合基于体素的形态学观察帕金森病脑灰质结构
发布时间：2019-07-22 11:23
【摘要】：目的探讨基于自动分割技术联合基于体素的形态学(VBM)观察帕金森病(PD)患者全脑灰质异常区域及分布特征的应用价值。方法基于自动分割技术,应用FIRST工具对29例PD患者(PD组)及30名健康人(对照组)的T1图像皮层下灰质结构精确分割,对比两组各灰质结构体积。并应用VBM方法对两组脑灰质图像进行比较。结果两组右侧壳核皮层下灰质体积差异有统计学意义(t=10.201,P0.05)。与对照组比较,PD组脑灰质体积(右侧初级运动皮层,双侧额叶、边缘叶、部分左侧小脑后叶、右侧小脑前叶、右侧小脑后叶、右侧颞叶、顶叶、壳核及左侧枕叶)广泛减少,部分左侧小脑后叶体积增加,两侧半球脑体积缺失不对称(右侧大于左侧)。结论通过FIRST工具可精确分割并直接计算皮层下灰质结构体积,应用VBM技术可定量分析脑结构形态学异常;二者结合可较全面地表现PD脑灰质体积广泛减少的形态学特点。
[Abstract]:Objective to evaluate the value of automatic segmentation combined with voxel-based morphological (VBM) in observing the abnormal area and distribution of whole brain gray matter in patients with Parkinson's disease (PD). Methods based on automatic segmentation technique, the subcortical gray matter structure of 29 patients with PD (PD group) and 30 healthy people (control group) were accurately segmented by FIRST tool, and the volume of gray matter structure in the two groups was compared. The gray matter images of the two groups were compared by VBM method. Results there was significant difference in subcortical gray matter volume between the two groups (t 鈮，
本文编号：2517591
[Abstract]:Objective to evaluate the value of automatic segmentation combined with voxel-based morphological (VBM) in observing the abnormal area and distribution of whole brain gray matter in patients with Parkinson's disease (PD). Methods based on automatic segmentation technique, the subcortical gray matter structure of 29 patients with PD (PD group) and 30 healthy people (control group) were accurately segmented by FIRST tool, and the volume of gray matter structure in the two groups was compared. The gray matter images of the two groups were compared by VBM method. Results there was significant difference in subcortical gray matter volume between the two groups (t 鈮，
本文编号：2517591
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