Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, 100049, China.
Neuroinformatics. 2024 Oct;22(4):555-568. doi: 10.1007/s12021-024-09687-1. Epub 2024 Sep 16.
Mouse models are crucial for neuroscience research, yet discrepancies arise between macro- and meso-scales due to sample preparation altering brain morphology. The absence of an accessible toolbox for magnetic resonance imaging (MRI) data processing presents a challenge for assessing morphological changes in the mouse brain. To address this, we developed the MBV-Pipe (Mouse Brain Volumetric Statistics-Pipeline) toolbox, integrating the methods of Diffeomorphic Anatomical Registration Through Exponentiated Lie Algebra (DARTEL)-Voxel-based morphometry (VBM) and Tract-Based Spatial Statistics (TBSS) to evaluate brain tissue volume and white matter integrity. To validate the reliability of MBV-Pipe, brain MRI data from seven mice at three time points (in vivo, post-perfusion, and post-fixation) were acquired using a 9.4T ultra-high MRI system. Employing the MBV-Pipe toolbox, we discerned substantial volumetric changes in the mouse brain following perfusion relative to the in vivo condition, with the fixation process inducing only negligible variations. Importantly, the white matter integrity was found to be largely stable throughout the sample preparation procedures. The MBV-Pipe source code is publicly available and includes a user-friendly GUI for facilitating quality control and experimental protocol optimization, which holds promise for advancing mouse brain research in the future.
鼠脑形态学分析的磁共振成像数据处理工具包 MBV-Pipe
鼠脑磁共振成像数据处理工具包 MBV-Pipe 的开发及其在小鼠脑形态学研究中的应用
鼠脑形态学分析的磁共振成像数据处理工具包 MBV-Pipe
鼠脑磁共振成像数据处理工具包 MBV-Pipe 的开发及其在小鼠脑形态学研究中的应用
鼠脑磁共振成像数据处理工具包 MBV-Pipe 的开发及其在小鼠脑形态学研究中的应用
鼠脑磁共振成像数据处理工具包 MBV-Pipe 的开发及其在小鼠脑形态学研究中的应用