Interactive Visual Similarity Analysis of Measured and Simulated Multi-field Tubular Flow Ensembles

Simple item page
dc.contributor.authorLeistikow, Simonen_US
dc.contributor.authorNahardani, Alien_US
dc.contributor.authorHoerr, Verenaen_US
dc.contributor.authorLinsen, Larsen_US
dc.contributor.editorKozlíková, Barbora and Krone, Michael and Smit, Noeska and Nieselt, Kay and Raidou, Renata Georgiaen_US
dc.date.accessioned2020-09-28T06:12:05Z
dc.date.available2020-09-28T06:12:05Z
dc.date.issued2020
dc.description.abstractTubular flow analysis plays an important role in many fields, such as for blood flow analysis in medicine, e.g., for the diagnosis of cardiovascular diseases and treatment planning. Phase-contrast magnetic resonance imaging (PC-MRI) allows for noninvasive in vivo-measurements of such tubular flow, but may suffer from imaging artifacts. New acquisition techniques (or sequences) that are being developed to increase image quality and reduce measurement time have to be validated against the current clinical standard. Computational Fluid Dynamics (CFD), on the other hand, allows for simulating noise-free tubular flow, but optimization of the underlying model depends on multiple parameters and can be a tedious procedure that may run into local optima. Data assimilation is the process of optimally combining the data from both PC-MRI and CFD domains. We present an interactive visual analysis approach to support domain experts in the above-mentioned fields by addressing PC-MRI and CFD ensembles as well as their combination. We develop a multi-field similarity measure including both scalar and vector fields to explore common hemodynamic parameters, and visualize the evolution of the ensemble similarities in a low-dimensional embedding. Linked views to spatial visualizations of selected time steps support an in-detail analysis of the spatio-temporal distribution of differences. To evaluate our system, we reached out to experts from the PC-MRI and CFD domains and summarize their feedback.en_US
dc.description.sectionheadersVascular and Flow
dc.description.seriesinformationEurographics Workshop on Visual Computing for Biology and Medicine
dc.identifier.doi10.2312/vcbm.20201180
dc.identifier.isbn978-3-03868-109-0
dc.identifier.issn2070-5786
dc.identifier.pages139-150
dc.identifier.urihttps://doi.org/10.2312/vcbm.20201180
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/vcbm20201180
dc.publisherThe Eurographics Associationen_US
dc.titleInteractive Visual Similarity Analysis of Measured and Simulated Multi-field Tubular Flow Ensemblesen_US
Files
Original bundle
Now showing 1 - 2 of 2
Thumbnail Image
Name:
139-150.pdf
Size:
2.39 MB
Format:
Adobe Portable Document Format
Download
No Thumbnail Available
Name:
video.mp4
Size:
115.02 MB
Format:
Unknown data format
Download
Collections
VCBM 2020: Eurographics Workshop on Visual Computing for Biology and Medicine