Show simple item record

dc.contributor.authorOeltze, S.en_US
dc.contributor.authorPreim, B.en_US
dc.contributor.editorOliver Deussen and Charles Hansen and Daniel Keim and Dietmar Saupeen_US
dc.date.accessioned2014-01-30T07:46:11Z
dc.date.available2014-01-30T07:46:11Z
dc.date.issued2004en_US
dc.identifier.isbn3-905673-07-Xen_US
dc.identifier.issn1727-5296en_US
dc.identifier.urihttp://dx.doi.org/10.2312/VisSym/VisSym04/311-320en_US
dc.description.abstractWe present a method for visualizing anatomic tree structures, such as vasculature and bronchial trees based on clinical CT- or MR data. The vessel skeleton as well as the diameter information per voxel serve as input. Our method adheres to these data, while producing smooth transitions at branchings and closed, rounded ends by means of convolution surfaces. We discuss the filter design with respect to irritating bulges, unwanted blending and the correct visualization of the vessel diameter. Similar to related work our method is based on the assumption of a circular cross-section of vasculature. In contrast to other authors we employ implicit surfaces to achieve high quality visualization. The method has been applied to a large variety of anatomic trees and produces good results. The time to construct a geometric model is reduced by means of different bounding volumes and careful choice of parameters for polygonization.en_US
dc.publisherThe Eurographics Associationen_US
dc.titleVisualization of Anatomic Tree Structures with Convolution Surfacesen_US
dc.description.seriesinformationEurographics / IEEE VGTC Symposium on Visualizationen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record