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针对小鼠中风模型的水肿校正 MRI 病变体积的图谱配准。

Atlas registration for edema-corrected MRI lesion volume in mouse stroke models.

机构信息

1 Department of Experimental Neurology, Center for Stroke Research Berlin (CSB), and NeuroCure, Charité University Medicine Berlin, Berlin, Germany.

2 Charité Core Facility 7T Experimental MRIs, Charité University Medicine Berlin, Berlin, Germany.

出版信息

J Cereb Blood Flow Metab. 2019 Feb;39(2):313-323. doi: 10.1177/0271678X17726635. Epub 2017 Aug 22.

Abstract

Lesion volume measurements with magnetic resonance imaging are widely used to assess outcome in rodent models of stroke. In this study, we improved a mathematical framework to correct lesion size for edema which is based on manual delineation of the lesion and hemispheres. Furthermore, a novel MATLAB toolbox to register mouse brain MR images to the Allen brain atlas is presented. Its capability to calculate edema-corrected lesion size was compared to the manual approach. Automated image registration performed equally well in in a mouse middle cerebral artery occlusion model (Pearson r = 0.976, p = 2.265e-11). Information encapsulated in the registration was used to generate maps of edema induced tissue volume changes. These showed discrepancies to simplified tissue models underlying the manual approach. The presented techniques provide biologically more meaningful, voxel-wise biomarkers of vasogenic edema after stroke.

摘要

磁共振成像的病变体积测量被广泛用于评估中风啮齿动物模型的结果。在这项研究中,我们改进了一种数学框架,用于校正基于病变和半球手动描绘的水肿大小。此外,还提出了一种新的 MATLAB 工具箱,用于将小鼠脑磁共振图像注册到 Allen 脑图谱。将其计算校正水肿后的病变大小的能力与手动方法进行了比较。在小鼠大脑中动脉闭塞模型中,自动图像配准的性能同样出色(Pearson r=0.976,p=2.265e-11)。配准中包含的信息用于生成水肿诱导的组织体积变化图。这些图与手动方法所基于的简化组织模型存在差异。所提出的技术为中风后血管源性水肿提供了更具生物学意义的、基于体素的生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e9d/6365595/c7360ff20337/10.1177_0271678X17726635-fig1.jpg

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