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dc.contributor.authorBorkin, Michelle Anne
dc.contributor.authorGajos, Krzysztof Z.
dc.contributor.authorPeters, Amanda Elizabeth
dc.contributor.authorMitsouras, Dimitrios
dc.contributor.authorMelchionna, Simone
dc.contributor.authorRybicki, Frank John
dc.contributor.authorFeldman, Charles Lawrence
dc.contributor.authorPfister, Hanspeter
dc.date.accessioned2012-05-06T19:42:19Z
dc.date.issued2011
dc.identifier.citationBorkin, Michelle Anne, Krzysztof Z. Gajos, Amanda Elizabeth Peters, Dimitrios Mitsouras, Simone Melchionna, Frank John Rybicki, Charles Lawrence Feldman, and Hanspeter Pfister. 2011. Evaluation of artery visualizations for heart disease diagnosis. IEEE Transactions on Visualization and Computer Graphics 17(12): 2479-2488.en_US
dc.identifier.issn1077-2626en_US
dc.identifier.issn1941-0506en_US
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:8667395
dc.description.abstractHeart disease is the number one killer in the United States, and finding indicators of the disease at an early stage is critical for treatment and prevention. In this paper we evaluate visualization techniques that enable the diagnosis of coronary artery disease. A key physical quantity of medical interest is endothelial shear stress (ESS). Low ESS has been associated with sites of lesion formation and rapid progression of disease in the coronary arteries. Having effective visualizations of a patient's ESS data is vital for the quick and thorough non-invasive evaluation by a cardiologist. We present a task taxonomy for hemodynamics based on a formative user study with domain experts. Based on the results of this study we developed HemoVis, an interactive visualization application for heart disease diagnosis that uses a novel 2D tree diagram representation of coronary artery trees. We present the results of a formal quantitative user study with domain experts that evaluates the effect of 2D versus 3D artery representations and of color maps on identifying regions of low ESS. We show statistically significant results demonstrating that our 2D visualizations are more accurate and efficient than 3D representations, and that a perceptually appropriate color map leads to fewer diagnostic mistakes than a rainbow color map.en_US
dc.description.sponsorshipEngineering and Applied Sciencesen_US
dc.language.isoen_USen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.relation.isversionofdoi:10.1109/TVCG.2011.192en_US
dc.relation.hasversionhttp://www.ncbi.nlm.nih.gov/pubmed/22034369en_US
dash.licenseOAP
dc.titleEvaluation of Artery Visualizations for Heart Disease Diagnosisen_US
dc.typeJournal Articleen_US
dc.description.versionProofen_US
dc.relation.journalIEEE Transactions on Visualization and Computer Graphicsen_US
dash.depositing.authorGajos, Krzysztof Z.
dc.date.available2012-05-06T19:42:19Z
dc.identifier.doi10.1109/TVCG.2011.192*
dash.contributor.affiliatedFeldman, Charles Lawrence
dash.contributor.affiliatedBorkin, Michelle
dash.contributor.affiliatedRybicki, Frank John
dash.contributor.affiliatedRandles, Amanda Elizabeth
dash.contributor.affiliatedPfister, Hanspeter
dash.contributor.affiliatedGajos, Krzysztof


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