Hogan R Edward, Bouilleret Viviane, Liu Ying Rui, Wang Lei, Williams John P, Jupp Bianca, Myers Damian, O'Brien Terence J
The Department of Neurology, Washington University, St. Louis, Missouri 63110, USA.
J Magn Reson Imaging. 2009 May;29(5):1027-34. doi: 10.1002/jmri.21766.
To report the detection of structural and functional biological changes in living animals using small animal in vivo MRI that complements traditional ex vivo histological techniques. We report the development and validation of the application of large deformation high dimensional mapping (HDM-LD) segmentation for the hippocampus in the rat.
High resolution volumetric T2 weighted MRI images were acquired at 4.7 Tesla from six male in-breed nonepileptic Wistar rats. Two HDM-LD segmentations of the hippocampus (automated 1 and automated 2) were compared with the manual segmentations of two investigators who independently segmented the hippocampi (manual 1 and manual 2).
The mean overlap for the hippocampi between automated 1 and automated 2 for the right hippocampi was 94.4% (SD 1.0) and for the left hippocampi was 94.3% (SD 2.5), while the mean overlap between automated 1 and manual 1 for the right hippocampi was 91.4% (SD 1.3) and for the left hippocampi was 91.9% (SD 1.4). Mean values for absolute differences for comparisons of all the segmentations were the following: automated 1 versus automated 2, 3.2% (SD 1.0); manual 1 versus manual 2 6.82% (SD 5.22); automated 1 versus manual 1 13.0% (SD 1.8).
HDM-LD can be applied to obtain accurate and reproducible three-dimensional segmentations of the hippocampus from rat MR images. HDM-LD will be a useful tool for investigations of hippocampal structural changes in vivo in rat models of human disease.
报告使用小动物活体磁共振成像（MRI）检测活体动物结构和功能生物学变化，以补充传统的离体组织学技术。我们报告了大鼠海马大变形高维映射（HDM-LD）分割应用的开发和验证。
在4.7特斯拉下，从6只雄性近交非癫痫性Wistar大鼠获取高分辨率容积T2加权MRI图像。将海马的两种HDM-LD分割（自动分割1和自动分割2）与两位独立分割海马的研究者的手动分割（手动分割1和手动分割2）进行比较。
自动分割1和自动分割2之间右侧海马的平均重叠率为94.4%（标准差1.0），左侧海马为94.3%（标准差2.5），而自动分割1和手动分割1之间右侧海马的平均重叠率为91.4%（标准差1.3），左侧海马为91.9%（标准差1.4）。所有分割比较的绝对差异平均值如下：自动分割1与自动分割2，3.2%（标准差1.0）；手动分割1与手动分割2，6.82%（标准差5.22）；自动分割1与手动分割1，13.0%（标准差1.8）。
HDM-LD可用于从大鼠MR图像中获得准确且可重复的海马三维分割。HDM-LD将成为研究人类疾病大鼠模型海马体内结构变化的有用工具。
