Communicating Pathologies and Growth to a General Audience

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dc.contributor.authorMittenentzwei, Sarahen_US
dc.contributor.authorMlitzke, Sophieen_US
dc.contributor.authorLawonn, Kaien_US
dc.contributor.authorPreim, Bernharden_US
dc.contributor.authorMeuschke, Moniqueen_US
dc.contributor.editorHansen, Christianen_US
dc.contributor.editorProcter, Jamesen_US
dc.contributor.editorRenata G. Raidouen_US
dc.contributor.editorJönsson, Danielen_US
dc.contributor.editorHöllt, Thomasen_US
dc.date.accessioned2023-09-19T11:31:50Z
dc.date.available2023-09-19T11:31:50Z
dc.date.issued2023
dc.description.abstractIn this paper, we investigate the suitability of different visual representations of pathological growth using surface models of intracranial aneurysms and liver tumors. By presenting complex medical information in a visually accessible manner, audiences can better understand and comprehend the progression of pathological structures. Previous work in medical visualization provides an extensive design space for visualizing medical image data. However, determining which visualization techniques are appropriate for a general audience has not been thoroughly investigated. We conducted a user study (n = 60) to evaluate different visual representations in terms of their suitability for solving tasks and their aesthetics. We created surface models representing the evolution of pathological structures over multiple discrete time steps and visualized them using illumination-based and illustrative techniques. Our results indicate that the suitability of visualization techniques depends on the task at hand. Users' aesthetic preferences largely coincide with their preferred visualization technique for task-solving purposes.en_US
dc.description.sectionheadersStorytelling and Communication
dc.description.seriesinformationEurographics Workshop on Visual Computing for Biology and Medicine
dc.identifier.doi10.2312/vcbm.20231215
dc.identifier.isbn978-3-03868-216-5
dc.identifier.issn2070-5786
dc.identifier.pages75-85
dc.identifier.pages11 pages
dc.identifier.urihttps://doi.org/10.2312/vcbm.20231215
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/vcbm20231215
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Applied computing -> Life and medical sciences; Human-centered computing -> Scientific visualization
dc.subjectApplied computing
dc.subjectLife and medical sciences
dc.subjectHuman centered computing
dc.subjectScientific visualization
dc.titleCommunicating Pathologies and Growth to a General Audienceen_US
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VCBM 2023: Eurographics Workshop on Visual Computing for Biology and Medicine