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dc.contributor.authorOeltze‐Jafra, S.en_US
dc.contributor.authorMeuschke, M.en_US
dc.contributor.authorNeugebauer, M.en_US
dc.contributor.authorSaalfeld, S.en_US
dc.contributor.authorLawonn, K.en_US
dc.contributor.authorJaniga, G.en_US
dc.contributor.authorHege, H.‐C.en_US
dc.contributor.authorZachow, S.en_US
dc.contributor.authorPreim, B.en_US
dc.contributor.editorChen, Min and Benes, Bedrichen_US
dc.date.accessioned2019-03-17T09:56:49Z
dc.date.available2019-03-17T09:56:49Z
dc.date.issued2019
dc.identifier.issn1467-8659
dc.identifier.urihttps://doi.org/10.1111/cgf.13394
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13394
dc.description.abstractSimulations and measurements of blood and airflow inside the human circulatory and respiratory system play an increasingly important role in personalized medicine for prevention, diagnosis and treatment of diseases. This survey focuses on three main application areas. (1) Computational fluid dynamics (CFD) simulations of blood flow in cerebral aneurysms assist in predicting the outcome of this pathologic process and of therapeutic interventions. (2) CFD simulations of nasal airflow allow for investigating the effects of obstructions and deformities and provide therapy decision support. (3) 4D phase‐contrast (4D PC) magnetic resonance imaging of aortic haemodynamics supports the diagnosis of various vascular and valve pathologies as well as their treatment. An investigation of the complex and often dynamic simulation and measurement data requires the coupling of sophisticated visualization, interaction and data analysis techniques. In this paper, we survey the large body of work that has been conducted within this realm. We extend previous surveys by incorporating nasal airflow, addressing the joint investigation of blood flow and vessel wall properties and providing a more fine‐granular taxonomy of the existing techniques. From the survey, we extract major research trends and identify open problems and future challenges. The survey is intended for researchers interested in medical flow but also more general, in the combined visualization of physiology and anatomy, the extraction of features from flow field data and feature‐based visualization, the visual comparison of different simulation results and the interactive visual analysis of the flow field and derived characteristics.Simulations and measurements of blood and airflow inside the human circulatory and respiratory system play an increasingly important role in personalized medicine for prevention, diagnosis and treatment of diseases. This survey focuses on three main application areas. (1) Computational fluid dynamics (CFD) simulations of blood flow in cerebral aneurysms assist in predicting the outcome of this pathologic process and of therapeutic interventions. (2) CFD simulations of nasal airflow allow for investigating the effects of obstructions and deformities and provide therapy decision support. (3) 4D phase‐contrast (4D PC) magnetic resonance imaging of aortic haemodynamics supports the diagnosis of various vascular and valve pathologies as well as their treatment. An investigation of the complex and often dynamic simulation and measurement data requires the coupling of sophisticated visualization, interaction and data analysis techniques.en_US
dc.publisher© 2019 The Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectmedical flow data
dc.subjectblood flow visualization
dc.subjectairflow visualization
dc.subjectcerebral aneurysm haemodynamics
dc.subjectnasal aerodynamics
dc.subjectaortic haemodynamics
dc.subjectCFD simulation
dc.subject4D PC‐MRI
dc.subjectflow exploration task taxonomy
dc.subjectApplied computing – Life and medical sciences
dc.subjectHuman‐centred computing – Visualization application domains
dc.subjectComputing methodologies – Modelling and simulation
dc.titleGeneration and Visual Exploration of Medical Flow Data: Survey, Research Trends and Future Challengesen_US
dc.description.seriesinformationComputer Graphics Forum
dc.description.sectionheadersArticles
dc.description.volume38
dc.description.number1
dc.identifier.doi10.1111/cgf.13394
dc.identifier.pages87-125
dc.description.documenttypestar


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