Intuitive Error Space Exploration of Medical Image Data in Clinical Daily Routine

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dc.contributor.authorGillmann, Christinaen_US
dc.contributor.authorArbeláez, Pabloen_US
dc.contributor.authorHernández, José Tiberioen_US
dc.contributor.authorHagen, Hansen_US
dc.contributor.authorWischgoll, Thomasen_US
dc.contributor.editorBarbora Kozlikova and Tobias Schreck and Thomas Wischgollen_US
dc.date.accessioned2017-06-12T05:20:11Z
dc.date.available2017-06-12T05:20:11Z
dc.date.issued2017
dc.description.abstractMedical image data can be affected by several image errors. These errors can lead to uncertain or wrong diagnosis in clinical daily routine. A large variety of image error metrics are available that target different aspects of image quality forming a highdimensional error space, which cannot be reviewed trivially. To solve this problem, this paper presents a novel error space exploration technique that is suitable for clinical daily routine. Therefore, the clinical workflow for reviewing medical data is extended by error space cluster information, that can be explored by user-defined selections. The presented tool was applied to two real-world datasets to show its effectiveness.en_US
dc.description.sectionheadersBiomedical and Biological Visualization
dc.description.seriesinformationEuroVis 2017 - Short Papers
dc.identifier.doi10.2312/eurovisshort.20171148
dc.identifier.isbn978-3-03868-043-7
dc.identifier.pages145-149
dc.identifier.urihttps://doi.org/10.2312/eurovisshort.20171148
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/eurovisshort20171148
dc.publisherThe Eurographics Associationen_US
dc.subjectKeywords
dc.subjectMedical Visualization
dc.subjectMulti
dc.subjectvariate Visualization
dc.subjectError Space Exploration
dc.titleIntuitive Error Space Exploration of Medical Image Data in Clinical Daily Routineen_US
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