Shading Style Assessment for Vessel Wall and Lumen Visualization

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dc.contributor.authorOstendorf, Kaien_US
dc.contributor.authorMastrodicasa, Domenicoen_US
dc.contributor.authorBäumler, Kathrinen_US
dc.contributor.authorCodari, Marinaen_US
dc.contributor.authorTurner, Valeryen_US
dc.contributor.authorWillemink, Martin J.en_US
dc.contributor.authorFleischmann, Dominiken_US
dc.contributor.authorPreim, Bernharden_US
dc.contributor.authorMistelbauer, Gabrielen_US
dc.contributor.editorOeltze-Jafra, Steffen and Smit, Noeska N. and Sommer, Björn and Nieselt, Kay and Schultz, Thomasen_US
dc.date.accessioned2021-09-21T08:09:45Z
dc.date.available2021-09-21T08:09:45Z
dc.date.issued2021
dc.description.abstractCurrent blood vessel rendering usually depicts solely the surface of vascular structures and does not visualize any interior structures. While this approach is suitable for most applications, certain cardiovascular diseases, such as aortic dissection would benefit from a more comprehensive visualization. In this work, we investigate different shading styles for the visualization of the aortic inner and outer wall, including the dissection flap. Finding suitable shading algorithms, techniques, and appropriate parameters is time-consuming when practitioners fine-tune them manually. Therefore, we build a shading pipeline using wellknown shading algorithms such as Blinn-Phong, Oren-Nayar, Cook-Torrance, Toon, and extended Lit-Sphere shading with techniques such as the Fresnel effect and screen space ambient occlusion. We interviewed six experts from various domains to find the best combination of shadings for preset combinations that maximize user experience and the applicability in clinical settings.en_US
dc.description.sectionheadersThe path that blood takes
dc.description.seriesinformationEurographics Workshop on Visual Computing for Biology and Medicine
dc.identifier.doi10.2312/vcbm.20211350
dc.identifier.isbn978-3-03868-140-3
dc.identifier.issn2070-5786
dc.identifier.pages107-111
dc.identifier.urihttps://doi.org/10.2312/vcbm.20211350
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/vcbm20211350
dc.publisherThe Eurographics Associationen_US
dc.subjectHuman centered computing
dc.subjectEmpirical studies in visualization
dc.subjectApplied computing
dc.subjectHealth informatics
dc.subjectComputing methodologies
dc.subjectNon
dc.subjectphotorealistic rendering
dc.subjectVisibility
dc.subjectReflectance modeling
dc.titleShading Style Assessment for Vessel Wall and Lumen Visualizationen_US
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VCBM 2021: Eurographics Workshop on Visual Computing for Biology and Medicine