4D MRI Flow Coupled to Physics-Based Fluid Simulation for Blood-Flow Visualization

N. de Hoon, R. van Pelt, A. Jalba, A. Vilanova

Research output: Contribution to journalArticleScientificpeer-review

14 Citations (Scopus)


Modern MRI measurements deliver volumetric and time-varying blood-flow data of unprecedented quality. Visual analysis of these data potentially leads to a better diagnosis and risk assessment of various cardiovascular diseases. Recent advances have improved the speed and quality of the imaging data considerably. Nevertheless, the data remains compromised by noise and a lack of spatiotemporal resolution. Besides imaging data, also numerical simulations are employed. These are based on mathematical models of specific features of physical reality. However, these models require realistic parameters and boundary conditions based on measurements. We propose to use data assimilation to bring measured data and physically-based simulation together, and to harness the mutual benefits. The accuracy and noise robustness of the coupled approach is validated using an analytic flow field. Furthermore, we present a comparative visualization that conveys the differences between using conventional interpolation and our coupled approach.
Original languageEnglish
Pages (from-to)121-130
Number of pages10
JournalComputer Graphics Forum (online)
Issue number3
Publication statusPublished - 2014
EventEuroVis 2014: Eurographics Conference on Visualization - Swansea, United Kingdom
Duration: 9 Jun 201413 Jun 2014


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