RENCI works with a research team from the Duke University School of Medicine on development of a software tool that allows clinicians to visualize and analyze a large dataset of prostate cancer cases in order to develop better treatment plans for new patients. The research team uses an algorithm to match cases from their database with new prostate cancer cases. RENCI is developing a user interface for visualizing and analyzing complex data from both new and matched cases, including 3D CT scans, 2D images, hand-drawn slice contours, volume rendered structure maps, histograms of radiation dosages, and radiation fluence maps.
The goal of RENCI’s work is to allow clinicians to view intensity modulated radiation therapy treatment plans in as many ways as possible—including multiple angles of radiation beams aimed at the cancerous tumors—so they can develop effective new treatment plans that spare healthy tissue from radiation beams as much as possible.
RENCI Project Team
Steve Chall, Principal Investigator
- Vorakarn Chanyavanich, Emory University
- Shiva K. Das, Duke University Medical Center
- Joseph Y. Lo, Carl E. Ravin Advanced Imaging Laboratories
- RENCI@Duke Applied Scientific and Information Visualization Program
- Wallace H. Coulter Translational Partners Grant Program, Duke University Department of Biomedical Engineering