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Abstract: Goal: To estimate hippocampal volumes from in vivo 3D magnetic resonance (MR) brain images and determine inter-rater and intra- rater repeatability. Objective: The precision and repeatability of hippocampal volume estimates using stereologic measurement methods is sought. Design: Five normal control and five schizophrenic subjects were MR scanned using a MPRAGE protocol. Fixed grid stereologic methods were used to estimate hippocampal volumes on a graphics workstation. The images were preprocessed using histogram analysis to standardize 3D MR image scaling from 16 to 8 bits and image volumes were interpolated to 0.5 mm$+3$/ isotropic voxels. The following variables were constant for the repeated stereologic measures: grid size, inter-slice distance (1.5 mm), voxel dimensions (0.5 mm$+3$/), number of hippocampi measured (10), total number of measurements per rater (40), and number of raters (5). Two grid sizes were tested to determine the coefficient of error associated with the number of sampled 'hits' (approximately 140 and 280) on the hippocampus. Starting slice and grid position were randomly varied to assure unbiased volume estimates. Raters were blind to subject identity, diagnosis, and side of the brain from which the image volumes were extracted and the order of subject presentation was randomized for each of the raters. Inter- and intra-rater intraclass correlation coefficients (ICC) were determined. Results: The data indicate excellent repeatability of fixed grid stereologic hippocampal volume measures when using an inter-slice distance of 1.5 mm and a 6.25 mm$+2$/ grid (inter-rater ICCs $EQ 0.86 - 0.97, intra- rater ICCs $EQ 0.85 - 0.97). One major advantage of the current study was the use of 3D MR data which significantly improved visualization of hippocampal boundaries by providing the ability to access simultaneous orthogonal views while counting stereological marks within the hippocampus. Conclusion: Stereological estimates of 3D volumes from 2D MR sections provide an inexpensive, unbiased and efficient way of determining brain structural volumes. The high precision and repeatability demonstrated with stereological MR volumetry suggest that these methods may be efficiently used to measure small volume reductions associated with schizophrenia and other brain disorders. !19
机译:摘要:目的:从体内3D磁共振(MR)脑图像估计海马体积,并确定评估者之间和评估者内部的重复性。目的:寻求使用立体测量方法估算海马体积的准确性和可重复性。设计:使用MPRAGE方案对5名正常对照和5名精神分裂症患者进行MR扫描。使用固定网格立体方法在图形工作站上估计海马体积。使用直方图分析对图像进行预处理,以标准化从16位到8位的3D MR图像缩放,并将图像体积内插到0.5 mm $ + 3 $ /各向同性体素。对于重复的立体测量,以下变量是恒定的:网格大小,切片间距离(1.5 mm),体素尺寸(0.5 mm $ + 3 $ /),测量的海马体数量(10),每个评估者的测量总数( 40个),以及评估者的数量(5)。测试了两个网格大小,以确定与海马上采样的“命中”次数(分别为140和280)相关的误差系数。起始切片和网格位置随机变化,以确保无偏量估计。评估者对受试者身份,诊断和大脑侧视力不了解,无法从中提取图像量,并且对每个评估者随机分配受试者的演示顺序。确定了评估者之间和评估者内部的类内相关系数(ICC)。结果:数据表明,当使用切片间距离为1.5 mm和6.25 mm时,固定网格的海马体体积测量具有极好的可重复性。+ / $ 2 /网格(评估者间ICC $ EQ 0.86-0.97,评估者内ICC $情商0.85-0.97)。当前研究的一个主要优势是使用3D MR数据,通过提供同时计数正交视图同时计算海马体中立体标记的能力,显着改善了海马体边界的可视化。结论:从2D MR切片中进行3D体积的体视学估计提供了一种廉价,公正且有效的方法来确定大脑结构体积。立体MR容积法显示的高精度和可重复性表明,这些方法可有效地用于测量与精神分裂症和其他脑部疾病有关的小体积减少。 !19

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