Deakyne, Alex2021-06-292021-06-292021-04https://hdl.handle.net/11299/220610University of Minnesota Ph.D. dissertation. April 2021. Major: Biomedical Informatics and Computational Biology. Advisor: Paul Iaizzo. 1 computer file (PDF); viii, 152 pages.Detailed anatomical computational models offer many benefits for medical education and enhanced virtual reality platforms can be employed as tools to amplify these benefits. Primarily through its ability to preserve the 3D spatial information of the given anatomy while creating an immersive environment to learn. Further, many of the newly developed functionalities I developed and that are described in my dissertation allow for cost-effective collaborations and the novel abilities to perform computational deployments of devices within a detailed VR anatomic scene. While VR platforms offers developing alternatives to traditional anatomical and device learning, they require numerous detailed and verified computational anatomical models which can be difficult and time consuming to produce. As described within my thesis, recent advancements allow for AI assisted generations of anatomical computational models from medical image datasets. By combining these two technologies and platforms, our research team now has new abilities to create large anatomical computational 3D model datasets which can be used in Virtual Reality learning environments, enabling the next generation of anatomical, medical device, and surgical education tools.enThesis or Dissertation