Back to articles
Articles
Volume: 31 | Article ID: art00014
Image
3D Medical Image Segmentation in Virtual Reality
  DOI :  10.2352/ISSN.2470-1173.2019.2.ERVR-188  Published OnlineJanuary 2019
Abstract

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.

Subject Areas :
Views 39
Downloads 1
 articleview.views 39
 articleview.downloads 1
  Cite this article 

Shea B Yonker, Oleksandr O Korshak, Timothy Hedstrom, Alexander Wu, Siddharth Atre, Jürgen P Schulze, "3D Medical Image Segmentation in Virtual Realityin 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

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2019
72010604
Electronic Imaging
2470-1173
Society for Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151 USA