优化VBM算法和DARTEL算法分析阿尔茨海默病MRI

发布时间：2018-03-13 05:02

本文选题：阿尔茨海默病　切入点：基于体素的形态学测量　出处：《中国医学影像技术》2014年03期 　论文类型：期刊论文

【摘要】：目的探讨优化VBM算法和DARTEL算法在分析阿尔茨海默病(AD)患者MRI的差别。方法利用两种算法对14例AD患者(AD组)和23名健康对照(NC组)的MRI进行分析,并对其全脑灰质进行基于体素的统计学比较。结果两种算法均报告颞叶右侧、海马、海马沟、海马旁回、杏仁核、枕叶深部存在灰质萎缩,但DARTEL算法报告的簇明显多于优化VBM算法;另外,部分区域在设置P0.005时优化VBM算法仍未见报告。结论分析AD患者的MRI时,采用DARTEL算法比优化VBM算法更合理。
[Abstract]:Objective to explore the difference between the optimized VBM algorithm and the DARTEL algorithm in the analysis of MRI in patients with Alzheimer's disease (AD). Methods the MRI of 14 AD patients with AD and 23 healthy controls (NC group) was analyzed by using two algorithms. Results both algorithms reported gray matter atrophy in the right temporal lobe, hippocampus, hippocampal sulcus, perihippocampal gyrus, amygdala and occipital lobe. However, the DARTEL algorithm reports more clusters than the optimized VBM algorithm, and the optimized VBM algorithm is still not reported in some regions when P0.005 is set. Conclusion the DARTEL algorithm is more reasonable than the optimized VBM algorithm in analyzing the MRI of AD patients.
【作者单位】：广东医学院信息工程学院;
【基金】：国家自然科学基金(61170320) 广东省自然科学基金(S2011040002981)
【分类号】：R749.16;TP301.6

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