Rowaizak Mohamed, Farhat Ahmad, Khalil Reem
Department of Architecture, Art, and Design, American University of Sharjah, Sharjah P.O. Box 26666, United Arab Emirates.
Dioscuri Centre in Topological Data Analysis, Mathematical Institute, Polish Academy of Sciences, 00-901 Warsaw, Poland.
J Imaging. 2025 Sep 1;11(9):298. doi: 10.3390/jimaging11090298.
Neuroscience education must convey 3D structure with clarity and accuracy. Traditional 2D renderings are limited as they lose depth information and hinder spatial understanding. High-resolution resources now exist, yet many are difficult to use in the class. Therefore, we developed an educational brain video that moves from gross to microanatomy using MRI-based models and the published literature. The pipeline used Fiji for preprocessing, MeshLab for mesh cleanup, Rhino 6 for target fixes, Houdini FX for materials, lighting, and renders, and Cinema4D for final refinement of the video. We had our brain models validated by two neuroscientists for educational fidelity. We tested the video in a class with 96 undergraduates randomized to video and lecture or lecture only. Students completed the same pretest and posttest questions. Student feedback revealed that comprehension and motivation to learn increased significantly in the group that watched the video, suggesting its potential as a useful supplement to traditional lectures. A short, well-produced 3D video can supplement lectures and improve learning in this setting. We share software versions and key parameters to support reuse.
神经科学教育必须清晰、准确地呈现三维结构。传统的二维渲染存在局限性，因为它们会丢失深度信息并阻碍空间理解。现在已有高分辨率资源，但许多资源在课堂上难以使用。因此，我们利用基于磁共振成像（MRI）的模型和已发表的文献，开发了一个从大体解剖到显微解剖的教育性脑视频。该流程使用Fiji进行预处理，MeshLab进行网格清理，Rhino 6进行目标修复，Houdini FX进行材质、光照和渲染，以及Cinema4D对视频进行最终优化。我们让两位神经科学家对我们的脑模型进行了教育保真度验证。我们在一个班级中对该视频进行了测试，96名本科生被随机分为观看视频加讲座组或仅听讲座组。学生们完成了相同的预测试和后测试问题。学生反馈显示，观看视频的小组在理解和学习动机方面有显著提高，这表明该视频作为传统讲座有用补充的潜力。一个简短、制作精良的三维视频可以在这种情况下补充讲座并提高学习效果。我们分享软件版本和关键参数以支持重复使用。
