University of Michigan Medical School, University of Michigan, Ann Arbor, USA.
Department of Radiology, University of Michigan, Ann Arbor, USA.
Med Teach. 2023 Oct;45(10):1108-1111. doi: 10.1080/0142159X.2023.2242170. Epub 2023 Aug 4.
What was the educational challenge?The complexity and variability of cross-sectional imaging present a significant challenge in imparting knowledge of radiologic anatomy to medical students.What was the solution?Recent advancements in three-dimensional (3D) segmentation and augmented reality (AR) technology provide a promising solution. These advances allow for the creation of interactive, patient-specific 3D/AR models which incorporate multiple imaging modalities including MRI, CT, and 3D rotational angiography can help trainees understand cross-sectional imaging.How was the solution implemented?To create the model, DICOM files of patient scans with slice thicknesses of 1 mm or less are exported to a computer and imported to 3D Slicer for registration. Once registered, the files are segmented with Vitrea software utilizing thresholding, region growing, and edge detection. After the creation of the models, they are then imported to a web-based interactive viewing platform and/or AR application.What lessons were learned that are relevant to a wider global audience?Low-resource 3D/AR models offer an accessible and intuitive tool to teach radiologic anatomy and pathology. Our novel method of creating these models leverages recent advances in 3D/AR technology to create a better experience than traditional high and low-resource 3D/AR modeling techniques. This will allow trainees to better understand cross-sectional imaging.What are the next steps?The interactive and intuitive nature of 3D and AR models has the potential to significantly improve the teaching and presentation of radiologic anatomy and pathology to a medical student audience. We encourage educators to incorporate 3D segmentation models and AR in their teaching strategies.
教育方面的挑战是什么？
影像学的复杂性和变异性对医学生放射解剖学知识的传授提出了重大挑战。
解决方案是什么？
近年来，三维（3D）分割和增强现实（AR）技术的进步提供了一个有前途的解决方案。这些进步允许创建交互式、患者特异性的 3D/AR 模型，其中包括多种成像方式，包括 MRI、CT 和 3D 旋转血管造影，这有助于学员理解横断面成像。
解决方案是如何实施的？
为了创建模型，将患者扫描的 DICOM 文件以 1mm 或更薄的切片厚度导出到计算机，并导入 3D Slicer 进行注册。注册后，使用 Vitrea 软件通过阈值、区域生长和边缘检测对文件进行分割。创建模型后，将其导入基于网络的交互式查看平台和/或 AR 应用程序。
有哪些对更广泛的全球受众相关的经验教训？
资源较少的 3D/AR 模型提供了一种易于访问和直观的工具，可用于教授放射解剖学和病理学。我们创建这些模型的新方法利用了 3D/AR 技术的最新进展，创造了比传统的高和低资源 3D/AR 建模技术更好的体验。这将使学员更好地理解横断面成像。
下一步是什么？
3D 和 AR 模型的交互性和直观性有可能极大地改善放射解剖学和病理学向医学生受众的教学和呈现。我们鼓励教育工作者将 3D 分割模型和 AR 纳入其教学策略中。
