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

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,P<0.05)。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。

Observation of gray matter structures in patient with Parkinson disease using voxel-based morphometry and automatic segmentation techniques

Objective To investigate the abnormal regions of whole brain gray matter and the distribution in patients with Parkinson disease (PD) using voxel-based morphometry (VBM) and automatic segmentation techniques. Methods Twenty-nine patients with PD (PD group) and 30 healthy controls (control group) underwent MR scaning with T1 3D TFE ref sequence. The subcortical gray matter structure was segmented using FIRST tool, and the volume of the two groups were campaired. Contrastive analysis of brain gray matter images was done between the two groups using VBM method. ResultsThe putamen subcortical gray matter volumes of the right side were statistically different between the two groups (t=10.201, P<0.05). Compared with control group, gray matter volume extensively decreased in brain regions of PD group, including right primary motor cortex, frontal lob, limbic lobe, a part of left cerebellum posterior, right cerebellum anterior, right cerebellum posterior, right temporal lobe, parietal lobe, putamen and left occipital lobe. While a part of left cerebellum posterior lobe volume increased in PD group. The gyrus volume loss of the two hemispheres was asymmetric (right side greater than left side). Conclusion Using FIRST tool can accurately segment subcortical gray matter structure and directly calculate the corresponding volume. VBM is helpful to quantitatively reflect the unusual morphological features of brain gray matter in PD patients. Combining of the two methods can thoroughly express the widespread morphological characteristis with the abnormal area of brain gray matter in PD patient.