Fonseca N C D, Bowerman Jason, Askari Pegah, Proskovec Amy L, Feltrin Fabricio Stewan, Veltkamp Daniel, Early Heather, Wagner Ben C, Davenport Elizabeth M, Maldjian Joseph A
MEG Center of Excellence, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Advanced Neuroscience Imaging Research (ANSIR) Laboratory, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
J Imaging. 2024 Mar 28;10(4):80. doi: 10.3390/jimaging10040080.
Magnetoencephalography (MEG) is a noninvasive neuroimaging technique widely recognized for epilepsy and tumor mapping. MEG clinical reporting requires a multidisciplinary team, including expert input regarding each dipole's anatomic localization. Here, we introduce a novel tool, the "Magnetoencephalography Atlas Viewer" (MAV), which streamlines this anatomical analysis. The MAV normalizes the patient's Magnetic Resonance Imaging (MRI) to the Montreal Neurological Institute (MNI) space, reverse-normalizes MNI atlases to the native MRI, identifies MEG dipole files, and matches dipoles' coordinates to their spatial location in atlas files. It offers a user-friendly and interactive graphical user interface (GUI) for displaying individual dipoles, groups, coordinates, anatomical labels, and a tri-planar MRI view of the patient with dipole overlays. It evaluated over 273 dipoles obtained in clinical epilepsy subjects. Consensus-based ground truth was established by three neuroradiologists, with a minimum agreement threshold of two. The concordance between the ground truth and MAV labeling ranged from 79% to 84%, depending on the normalization method. Higher concordance rates were observed in subjects with minimal or no structural abnormalities on the MRI, ranging from 80% to 90%. The MAV provides a straightforward MEG dipole anatomic localization method, allowing a nonspecialist to prepopulate a report, thereby facilitating and reducing the time of clinical reporting.
脑磁图(MEG)是一种非侵入性神经成像技术,在癫痫和肿瘤定位方面得到广泛认可。MEG临床报告需要一个多学科团队,包括关于每个偶极子解剖定位的专家意见。在此,我们介绍一种新型工具——“脑磁图图谱查看器”(MAV),它简化了这种解剖分析。MAV将患者的磁共振成像(MRI)归一化到蒙特利尔神经病学研究所(MNI)空间,将MNI图谱反归一化到原始MRI,识别MEG偶极子文件,并将偶极子的坐标与其在图谱文件中的空间位置相匹配。它提供了一个用户友好的交互式图形用户界面(GUI),用于显示单个偶极子、组、坐标、解剖标签以及带有偶极子叠加的患者三平面MRI视图。它对临床癫痫患者获得的273个以上偶极子进行了评估。由三位神经放射科医生基于共识建立了地面真值,最低一致阈值为两人。根据归一化方法,地面真值与MAV标记之间的一致性范围为79%至84%。在MRI上结构异常最小或无结构异常的患者中观察到更高的一致性率,范围为80%至90%。MAV提供了一种简单的MEG偶极子解剖定位方法,使非专业人员能够预先填写报告,从而便于并减少临床报告时间。