ImageVis3D Mobile Universal
Assessed for usability and quality
App Summary
App Screenshots









Detailed Description
Functionality & Mechanism
ImageVis3D Mobile Universal is a mobile visualization system for rendering and sharing complex volume and surface data. Developed with support from the NIH/NCRR and NIBIB, the system facilitates data transfer from its desktop counterpart, ImageVis3D, to iOS devices. The interface enables direct, interactive manipulation of patient-specific models and other volumetric datasets. Its architecture leverages advanced mobile graphics hardware to provide high-performance visualization capabilities in portable, point-of-care, or field research settings, supporting detailed data exploration and analysis.
Evidence & Research Context
- An evaluation study involving movement disorders clinicians found that deep brain stimulation (DBS) settings selected using the app were comparable to those chosen via standard clinical practice.
- The study further demonstrated that the visualization-guided selection process was completed in drastically less time than the standard clinical workflow.
- Research has focused on its application for visualizing patient-specific models of Parkinson's disease patients to support therapeutic decision-making at the point of care.
- The system represents an advancement in mobile volume rendering, a research area focused on leveraging powerful mobile hardware for complex scientific and medical visualization.
Intended Use & Scope
This system is intended for clinicians, researchers, and educators requiring mobile, high-performance visualization of 3D datasets. Its primary scope is to serve as an analytical and decision-support tool, particularly in clinical settings like neuromodulation planning. The app is not a standalone diagnostic instrument and requires external data transfer; all clinical interpretations remain the user's professional responsibility.
Studies & Publications
Peer-reviewed research associated with this app.
Mobile Volume Rendering: Past, Present and Future
Noguera et al. (2016) · IEEE Transactions on Visualization and Computer Graphics
Referenced in academic literature; no direct evaluation of the appState of the Art in Mobile Volume Rendering on iOS Devices
Schiewe et al. (2015) · EuroVis Short Papers
Referenced in academic literature; no direct evaluation of the appApp Information
Developer
University of UtahCategory
Evidence Profile
Assessed for usability and quality
Platforms
Updated
Jan 2018
© 2025 University of Utah
Tags
ImageVis3D Mobile Universal
Free