Temporal Interpolation of 4D PC-MRI Blood-flow Measurements Using Bidirectional Physics-based Fluid Simulation

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dc.contributor.authorHoon, Niels H. L. C. deen_US
dc.contributor.authorJalba, Andrei C.en_US
dc.contributor.authorEisemann, Elmaren_US
dc.contributor.authorVilanova, Annaen_US
dc.contributor.editorStefan Bruckner and Bernhard Preim and Anna Vilanova and Helwig Hauser and Anja Hennemuth and Arvid Lundervolden_US
dc.date.accessioned2016-09-07T05:37:29Z
dc.date.available2016-09-07T05:37:29Z
dc.date.issued2016
dc.description.abstractMagnetic Resonance Imaging (MRI) enables volumetric and time-varying measurements of blood-flow data. Such data have shown potential to improve diagnosis and risk assessment of various cardiovascular diseases. Hereby, a unique way of analysing patient-specific haemodynamics becomes possible. However, these measurements are susceptible to artifacts, noise and a coarse spatio-temporal resolution. Furthermore, typical flow visualization techniques rely on interpolation. For example, using pathlines requires a high quality temporal resolution. While numerical simulations, based on mathematical flow models, address some of these limitations, the involved modelling assumptions (e.g., regarding the inflow and mesh) do not provide patientspecific data to the degree actual measurements would. To overcome this issue, data assimilation techniques can be applied to use measured data in order to steer a physically-based simulation of the flow, combining the benefits of measured data and simulation. Our work builds upon such an existing solution to increase the temporal resolution of the measured data, but achieves significantly higher fidelity. We avoid the previous damping and interpolation bias towards one of the measurements, by simulating bidrectionally (forwards and backwards through time) and using sources and sinks. Our method is evaluated and compared to the, currently-used, conventional interpolation scheme and forward-only simulation using measured and analytical flow data. It reduces artifacts, noise, and interpolation error, while being closer to laminar flow, as is expected for flow in vessels.en_US
dc.description.sectionheadersVisual Computing for Blood Flow Analysis and Motion Analysis
dc.description.seriesinformationEurographics Workshop on Visual Computing for Biology and Medicine
dc.identifier.doi10.2312/vcbm.20161272
dc.identifier.isbn978-3-03868-010-9
dc.identifier.issn2070-5786
dc.identifier.pages59-68
dc.identifier.urihttps://doi.org/10.2312/vcbm.20161272
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/vcbm20161272
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACMCCS)
dc.subject
dc.subjectI.3.3 [Computer Graphics]
dc.subjectApplications
dc.subject4D PC
dc.subjectMRI Blood
dc.subjectFlow
dc.subjectI.6.8 [Simulation and Modelling]
dc.subjectTypes of Simulation
dc.subjectCombined G.1.1 [Mathematics of Computing]
dc.subjectNumerical Analysis
dc.subjectInterpolation
dc.titleTemporal Interpolation of 4D PC-MRI Blood-flow Measurements Using Bidirectional Physics-based Fluid Simulationen_US
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VCBM 16: Eurographics Workshop on Visual Computing for Biology and Medicine