Uncertainty-aware Brain Lesion Visualization

dc.contributor.authorGillmann, Christinaen_US
dc.contributor.authorSaur, Dorotheeen_US
dc.contributor.authorWischgoll, Thomasen_US
dc.contributor.authorHoffmann, Karl-Titusen_US
dc.contributor.authorHagen, Hansen_US
dc.contributor.authorMaciejewski, Rossen_US
dc.contributor.authorScheuermann, Geriken_US
dc.contributor.editorKozlíková, Barbora and Krone, Michael and Smit, Noeska and Nieselt, Kay and Raidou, Renata Georgiaen_US
dc.date.accessioned2020-09-28T06:11:53Z
dc.date.available2020-09-28T06:11:53Z
dc.date.issued2020
dc.description.abstractA brain lesion is an area of tissue that has been damaged through injury or disease. Its analysis is an essential task for medical researchers to understand diseases and find proper treatments. In this context, visualization approaches became an important tool to locate, quantify, and analyze brain lesions. Unfortunately, image uncertainty highly effects the accuracy of the visualization output. These effects are not covered well in existing approaches, leading to miss-interpretation or a lack of trust in the analysis result. In this work, we present an uncertainty-aware visualization pipeline especially designed for brain lesions. Our method is based on an uncertainty measure for image data that forms the input of an uncertainty-aware segmentation approach. Here, medical doctors can determine the lesion in the patient's brain and the result can be visualized by an uncertainty-aware geometry rendering. We applied our approach to two patient datasets to review the lesions. Our results indicate increased knowledge discovery in brain lesion analysis that provides a quantification of trust in the generated results.en_US
dc.description.sectionheadersVA and Uncertainty
dc.description.seriesinformationEurographics Workshop on Visual Computing for Biology and Medicine
dc.identifier.doi10.2312/vcbm.20201176
dc.identifier.isbn978-3-03868-109-0
dc.identifier.issn2070-5786
dc.identifier.pages97-101
dc.identifier.urihttps://doi.org/10.2312/vcbm.20201176
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/vcbm20201176
dc.publisherThe Eurographics Associationen_US
dc.subjectMedical Visualization
dc.subjectUncertainty Visualization
dc.subjectBrain Lesion Visualization
dc.titleUncertainty-aware Brain Lesion Visualizationen_US
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