InkVis: A High-Particle-Count Approach for Visualization of Phase-Contrast Magnetic Resonance Imaging DataNiels H. L. C. De Hoon, Kai Lawonn, Andrei C. Jalba, Elmar Eisemann & Anna Vilanova
Phase-Contrast Magnetic Resonance Imaging (PC-MRI) measures volumetric and time-varying blood flow data, unsurpassed in quality and completeness. Such blood-flow data have been shown to have the potential to improve both diagnosis and risk assessment of cardiovascular diseases (CVDs) uniquely. Typically PC-MRI data is visualized using stream- or pathlines. However, time-varying aspects of the data, e.g., vortex shedding, breakdown, and formation, are not sufficiently captured by these visualization techniques. Experimental flow visualization techniques introduce a visible...
This data center is not currently reporting usage information. For information on how your repository can submit usage information, please see our documentation.
We found no citations for this text. For information on how to provide citation information, please see our documentation.