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Effects of Image Distortion Correction on Voxel-based Morphometry

机译:图像失真校正对基于体素的形态计量学的影响

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Purpose: We aimed to show that correcting image distortion significantly affects brain volumetry using voxel-based morphometry (VBM) and to assess whether the processing of distortion correction reduces system dependency. Materials and Methods: We obtained contiguous sagittal T1-weighted images of the brain from 22 healthy participants using 1.5- and 3-tesla magnetic resonance (MR) scanners, preprocessed images using Statistical Parametric Mapping 5, and tested the relation between distortion correction and brain volume using VBM. Results: Local brain volume significantly increased or decreased on corrected images compared with uncorrected images. In addition, the method used to correct image distortion for gradient nonlinearity produced fewer volumetric errors from MR system variation. Conclusion: This is the first VBM study to show more precise volumetry using VBM with corrected images. These results indicate that multi-scanner or multi-site imaging trials require correction for distortion induced by gradient nonlinearity.
机译:目的:我们旨在表明,使用基于体素的形态计量学(VBM)校正图像失真会严重影响大脑容量,并评估失真校正的处理是否会降低系统依赖性。材料和方法:我们使用1.5和3-特斯拉磁共振(MR)扫描仪从22位健康参与者获得了连续的矢状T 1 加权大脑图像,使用统计参数映射5预处理了图像,并使用VBM测试了畸变校正与脑容量之间的关系。结果:与未校正图像相比,校正图像上的局部大脑体积明显增加或减少。另外,用于校正梯度非线性的图像失真的方法产生的MR系统变化产生的体积误差更少。结论:这是第一个VBM研究,使用VBM和校正后的图像显示更精确的体积。这些结果表明,多扫描仪或多站点成像试验需要校正由梯度非线性引起的失真。

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