Meeting Banner
Abstract #3028

VISTA: Visualization of Image Segmentation by Transformation and Analysis

James Evans1,2, Connor Davey3, Aaron Anderson2, Matthew Bramlet4, and Bradley P. Sutton1,2
1Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana, IL, United States, 2Beckman Institute, University of Illinois Urbana-Champaign, Urbana, IL, United States, 3OSF Healthcare, Peoria, IL, United States, 4Department of Pediatrics, University of Illinois College of Medicine, Peoria, IL, United States

Synopsis

Keywords: Visualization, Visualization, Virtual Reality, VR, Software

Motivation: Complex medical procedures often require clinicians to construct a (3D) three-dimensional mental model of a patient's anatomy from 2D medical imaging data.

Goal(s): Our goal was to develop a set of tools which convert 2D imaging data into 3D objects to view in virtual reality (VR).

Approach: Two pipelines were created, one for brain imaging data and another for label mask images, which automatically segment the images, convert them to objects, and merge them into a VR viewable model.

Results: Our software has been successfully used to transform a variety of medical imaging data into 3D files which are viewable on VR platforms.

Impact: Some of the challenges with mentally visualizing two-dimensional medical imaging data should be alleviated by using our software to automatically make the data viewable in a three-dimensional format.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.

Keywords