Explorative Visual Analysis of Spatio-temporal Regions to Detect Hemodynamic Biomarker Candidates
Abstract
Biomarkers are measurable biological properties that allow for distinguishing subjects of different cohorts such as healthy vs. diseased. In the context of diagnosing diseases of the cardiovascular system, researchers aim - among others - at detecting biomarkers in the form of spatio-temporal regions of blood flow obtained by medical imaging or of derived hemodynamical parameters. As the search space for such biomarkers in time-varying volumetric multi-field data is extremely large, we present an interactive visual exploration system to support the analysis of the potential of spatio-temporal regions to discriminate cohorts.
BibTeX
@inproceedings {10.2312:evp.20221109,
booktitle = {EuroVis 2022 - Posters},
editor = {Krone, Michael and Lenti, Simone and Schmidt, Johanna},
title = {{Explorative Visual Analysis of Spatio-temporal Regions to Detect Hemodynamic Biomarker Candidates}},
author = {Derstroff, Adrian and Leistikow, Simon and Nahardani, Ali and Ebrahimi, Mahyasadat and Hoerr, Verena and Linsen, Lars},
year = {2022},
publisher = {The Eurographics Association},
ISBN = {978-3-03868-185-4},
DOI = {10.2312/evp.20221109}
}
booktitle = {EuroVis 2022 - Posters},
editor = {Krone, Michael and Lenti, Simone and Schmidt, Johanna},
title = {{Explorative Visual Analysis of Spatio-temporal Regions to Detect Hemodynamic Biomarker Candidates}},
author = {Derstroff, Adrian and Leistikow, Simon and Nahardani, Ali and Ebrahimi, Mahyasadat and Hoerr, Verena and Linsen, Lars},
year = {2022},
publisher = {The Eurographics Association},
ISBN = {978-3-03868-185-4},
DOI = {10.2312/evp.20221109}
}
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