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MRI-derived measurements of human subcortical ventricular and intracranial brain volumes: Reliability effects of scan sessions acquisition sequences data analyses scanner upgrade scanner vendors and field strengths

机译:MRI得出的人类皮层下心室和颅内脑体积的测量结果:扫描会话采集序列数据分析扫描仪升级扫描仪供应商和现场实力的可靠性影响

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摘要

Automated MRI-derived measurements of in-vivo human brain volumes provide novel insights into normal and abnormal neuroanatomy, but little is known about measurement reliability. Here we assess the impact of image acquisition variables (scan session, MRI sequence, scanner upgrade, vendor and field strengths), Freesurfer segmentation preprocessing variables (image averaging, B1 field inhomogeneity correction) and segmentation analysis variables (probabilistic atlas) on resultant image segmentation volumes from older (n=15, mean age 69.5) and younger (both n=5, mean ages 34 and 36.5) healthy subjects. The variability between hippocampal, thalamic, caudate, putamen, lateral ventricular and total intracranial volume measures across sessions on the same scanner on different days is less than 4.3% for the older group and less than 2.3% for the younger group. Within-scanner measurements are remarkably reliable across scan sessions, being minimally affected by averaging of multiple acquisitions, B1 correction, acquisition sequence (MPRAGE vs. multi-echo-FLASH), major scanner upgrades (Sonata-Avanto, Trio-TrioTIM), and segmentation atlas (MPRAGE or multi-echo-FLASH). Volume measurements across platforms (Siemens Sonata vs. GE Signa) and field strengths (1.5T vs. 3T) result in a volume difference bias but with a comparable variance as that measured within-scanner, implying that multi-site studies may not necessarily require a much larger sample to detect a specific effect. These results suggest that volumes derived from automated segmentation of T1-weighted structural images are reliable measures within the same scanner platform, even after upgrades; however, combining data across platform and across field-strength introduces a bias that should be considered in the design of multi-site studies, such as clinical drug trials. The results derived from the young groups (scanner upgrade effects and B1 inhomogeneity correction effects) should be considered as preliminary and in need for further validation with a larger dataset.
机译:体内人脑体积的自动MRI派生测量提供了对正常和异常神经解剖结构的新颖见解,但是对测量可靠性的了解却很少。在这里,我们评估图像采集变量(扫描会话,MRI序列,扫描仪升级,供应商和现场强度),Freesurfer分割预处理变量(图像平均,B1场不均匀校正)和分割分析变量(概率图集)对所得图像分割的影响。年龄较大(n = 15,平均年龄69.5)和年龄较小(n = 5,平均年龄34和36.5)的健康受试者的血容量。在同一天,同一天,不同年龄段的海马,丘脑,尾状,壳状核,侧脑室和总颅内体积测量值之间的变异性,老年组小于4.3%,年轻组小于2.3%。扫描仪内部测量在整个扫描会话期间均非常可靠,受多次采集,B1校正,采集序列(MPRAGE与多回波FLASH),主要扫描仪升级(Sonata-Avanto,Trio-TrioTIM)的平均影响最小。分割图集(MPRAGE或多回波FLASH)。跨平台的体积测量(Siemens Sonata与GE Signa)和场强(1.5T与3T)会导致体积差异的偏差,但与扫描仪内部的测量结果具有可比的变化,这暗示着不一定需要进行多站点研究更大的样本以检测特定效果。这些结果表明,即使在升级后,从T1加权结构图像的自动分割中获得的体积也是同一扫描仪平台内的可靠措施。但是,将跨平台和跨领域的数据结合起来会产生偏差,在设计多站点研究(例如临床药物试验)时应考虑这一偏见。来自年轻组的结果(扫描仪升级效果和B1不均匀性校正效果)应被视为初步结果,需要使用更大的数据集进行进一步验证。

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