The possible achievements of accurate and intuitive 3D image segmentation are endless. For our specific research, we aim to give doctors around the world, regardless of their computer knowledge, a virtual reality (VR) 3D image segmentation tool which allows medical professionals to better visualize their patients’ data sets, thus attaining the best understanding of their respective conditions.We implemented an intuitive virtual reality interface that can accurately display MRI and CT scans and quickly and precisely segment 3D images, offering two different segmentation algorithms. Simply put, our application must be able to fit into even the most busy and practiced physicians’ workdays while providing them with a new tool, the likes of which they have never seen before.
Shea B Yonker, Oleksandr O Korshak, Timothy Hedstrom, Alexander Wu, Siddharth Atre, Jürgen P Schulze, "3D Medical Image Segmentation in Virtual Reality" in Proc. IS&T Int’l. Symp. on Electronic Imaging: The Engineering Reality of Virtual Reality, 2019, pp 188-1 - 188-6, https://doi.org/10.2352/ISSN.2470-1173.2019.2.ERVR-188