Shatil Anwar S, Matsuda Kant M, Figley Chase R
Biomedical Engineering Graduate Program, University of Manitoba, Winnipeg, MB, Canada; Neuroscience Research Program, Winnipeg Health Sciences Centre, Kleysen Institute for Advanced Medicine, Winnipeg, MB, Canada.
Biomedical Engineering Graduate Program, University of Manitoba, Winnipeg, MB, Canada; Department of Pathology, University of Manitoba, Winnipeg, MB, Canada.
Front Neurol. 2016 Nov 29;7:208. doi: 10.3389/fneur.2016.00208. eCollection 2016.
Magnetic resonance imaging (MRI) is a non-destructive technique that is capable of localizing pathologies and assessing other anatomical features (e.g., tissue volume, microstructure, and white matter connectivity) in postmortem, human brains. However, when brains are removed from the skull and cerebrospinal fluid (i.e., their normal magnetic environment), air bubbles and air-tissue interfaces typically cause magnetic susceptibility artifacts that severely degrade the quality of MRI data. In this report, we describe a relatively simple and cost-effective experimental setup for acquiring artifact-free brain images using a clinical MRI system with standard hardware. In particular, we outline the necessary steps, from collecting an human brain to the MRI scanner setup, and have also described changing the formalin (as might be necessary in longitudinal postmortem studies). Finally, we share some representative MRI images that have been acquired using the proposed setup in order to demonstrate the efficacy of this approach. We hope that this protocol will provide both clinicians and researchers with a straight-forward and cost-effective solution for acquiring MRI data from whole postmortem human brains.
磁共振成像(MRI)是一种非破坏性技术,能够在死后的人类大脑中定位病变并评估其他解剖特征(如组织体积、微观结构和白质连通性)。然而,当大脑从颅骨和脑脊液(即其正常磁环境)中取出时,气泡和气-组织界面通常会导致磁敏感性伪影,严重降低MRI数据的质量。在本报告中,我们描述了一种相对简单且经济高效的实验装置,用于使用具有标准硬件的临床MRI系统获取无伪影的脑图像。特别是,我们概述了从收集人类大脑到设置MRI扫描仪的必要步骤,还描述了更换福尔马林(在纵向死后研究中可能需要)的过程。最后,我们分享了一些使用所提出的装置获取的代表性MRI图像,以证明这种方法的有效性。我们希望该方案能为临床医生和研究人员提供一种直接且经济高效的解决方案,用于从整个死后人类大脑获取MRI数据。