dc.contributor.author | Ostendorf, Kai | en_US |
dc.contributor.author | Mastrodicasa, Domenico | en_US |
dc.contributor.author | Bäumler, Kathrin | en_US |
dc.contributor.author | Codari, Marina | en_US |
dc.contributor.author | Turner, Valery | en_US |
dc.contributor.author | Willemink, Martin J. | en_US |
dc.contributor.author | Fleischmann, Dominik | en_US |
dc.contributor.author | Preim, Bernhard | en_US |
dc.contributor.author | Mistelbauer, Gabriel | en_US |
dc.contributor.editor | Oeltze-Jafra, Steffen and Smit, Noeska N. and Sommer, Björn and Nieselt, Kay and Schultz, Thomas | en_US |
dc.date.accessioned | 2021-09-21T08:09:45Z | |
dc.date.available | 2021-09-21T08:09:45Z | |
dc.date.issued | 2021 | |
dc.identifier.isbn | 978-3-03868-140-3 | |
dc.identifier.issn | 2070-5786 | |
dc.identifier.uri | https://doi.org/10.2312/vcbm.20211350 | |
dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/vcbm20211350 | |
dc.description.abstract | Current 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.publisher | The Eurographics Association | en_US |
dc.subject | Human centered computing | |
dc.subject | Empirical studies in visualization | |
dc.subject | Applied computing | |
dc.subject | Health informatics | |
dc.subject | Computing methodologies | |
dc.subject | Non | |
dc.subject | photorealistic rendering | |
dc.subject | Visibility | |
dc.subject | Reflectance modeling | |
dc.title | Shading Style Assessment for Vessel Wall and Lumen Visualization | en_US |
dc.description.seriesinformation | Eurographics Workshop on Visual Computing for Biology and Medicine | |
dc.description.sectionheaders | The path that blood takes | |
dc.identifier.doi | 10.2312/vcbm.20211350 | |
dc.identifier.pages | 107-111 | |