| dc.contributor.author | Kerwin, Thomas | en_US |
| dc.contributor.author | Hittle, Brad | en_US |
| dc.contributor.author | Shen, Han-Wei | en_US |
| dc.contributor.author | Stredney, Don | en_US |
| dc.contributor.author | Wiet, Gregory | en_US |
| dc.contributor.editor | Dirk Bartz and Charl Botha and Joachim Hornegger and Raghu Machiraju and Alexander Wiebel and Bernhard Preim | en_US |
| dc.date.accessioned | 2014-01-29T17:09:06Z | |
| dc.date.available | 2014-01-29T17:09:06Z | |
| dc.date.issued | 2010 | en_US |
| dc.identifier.isbn | 978-3-905674-28-6 | en_US |
| dc.identifier.issn | 2070-5786 | en_US |
| dc.identifier.uri | http://dx.doi.org/10.2312/VCBM/VCBM10/117-124 | en_US |
| dc.description.abstract | We describe the use of the weighted distance transform (WDT) to enhance applications designed for volume visualization of segmented anatomical datasets. The WDT is presented as a general technique to generate a derived characteristic of a scalar field that can be used in multiple ways during rendering. We obtain real-time interaction with the volume by calculating the WDT on the graphics card. Several examples of this technique as it applies to an application for teaching anatomical structures are detailed, including rendering embedded structures, fuzzy boundaries, outlining, and indirect lighting estimation. | en_US |
| dc.publisher | The Eurographics Association | en_US |
| dc.title | Anatomical Volume Visualization with Weighted Distance Fields | en_US |
| dc.description.seriesinformation | Eurographics Workshop on Visual Computing for Biology and Medicine | en_US |
