Abstract | ||
---|---|---|
We present a case study evaluating the potential for interactively identifying placental surface blood vessels using magnetic resonance imaging (MRI) scans in virtual reality (VR) environments. We visualized the MRI data using direct volume rendering in a high-fidelity CAVE-like VR system, allowing medical professionals to identify relevant placental vessels directly from volume visualizations in ... |
Year | DOI | Venue |
---|---|---|
2020 | 10.1109/MCG.2018.2881985 | IEEE Computer Graphics and Applications |
Keywords | Field | DocType |
Magnetic resonance imaging,Biomedical imaging,Data visualization,Rendering (computer graphics),Virtual reality,Three-dimensional displays | Computer vision,Volume rendering,Virtual reality,Data exploration,Computer science,Visualization,Surgery planning,Vascular structure,Artificial intelligence,Tracing,Magnetic resonance imaging | Journal |
Volume | Issue | ISSN |
40 | 1 | 0272-1716 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Johannes Novotny | 1 | 1 | 1.44 |
Wesley R Miller | 2 | 0 | 0.34 |
Francois I Luks | 3 | 0 | 0.34 |
Derek Merck | 4 | 16 | 3.94 |
Scott Collins | 5 | 0 | 1.35 |
David H. Laidlaw | 6 | 1781 | 234.58 |