Wilke Marko
Department of Neuropediatrics, General Pediatrics, Diabetology, Endocrinology, Social Pediatrics, University Children's Hospital, Tübingen, Germany.
Experimental Pediatric Neuroimaging, Children's Hospital and Department of Neuroradiology, University of Tübingen, Tübingen, Germany.
Hum Brain Mapp. 2025 Sep;46(13):e70337. doi: 10.1002/hbm.70337.
Subject motion is a significant problem for the analysis of functional MRI data and is usually described by "total displacement" or "scan-to-scan displacement". Neither parameter, however, takes into account voxel size, which clearly is relevant for the actual effects of motion on the data. Consequently, it is hitherto impossible to compare motion between subjects/studies acquired using different voxel dimensions, precluding the development of generally applicable recommendations for fMRI quality control procedures. Here, a new set of "voxel volume overlap" (VVO) parameters is developed and explored, assessing the actual volumetric effects of subject motion on the voxel-level. Further, the extent of out-of-plane movement (particularly detrimental to image quality) can be quantified. Analyses show the new parameters to be valid and sensitive to voxel sizes. Their relation to existing parameters is explored, and defaults are suggested. The algorithm is freely available as a toolbox for a common image processing software solution (SPM).
受试者运动是功能磁共振成像(fMRI)数据分析中的一个重大问题,通常用“总位移”或“逐次扫描位移”来描述。然而,这两个参数都没有考虑体素大小,而体素大小显然与运动对数据的实际影响相关。因此,迄今为止,无法比较使用不同体素维度获取的受试者/研究之间的运动情况,这使得无法制定适用于fMRI质量控制程序的通用建议。在此,我们开发并探讨了一组新的“体素体积重叠”(VVO)参数,用于评估受试者运动在体素层面上的实际体积效应。此外,还可以量化平面外运动的程度(这对图像质量尤其有害)。分析表明,新参数是有效的,并且对体素大小敏感。我们探讨了它们与现有参数的关系,并提出了默认值。该算法可作为一个常用图像处理软件解决方案(SPM)的工具箱免费获取。