Non-Photorealistic Computer Graphics Library

Curvature- and Model-Based Surface Hatching of Anatomical Structures Derived from Clinical Volume Datasets

Author(s): Rocco Gasteiger, Christian Tietjen, Alexandra Baer, Bernhard Preim.
Proceedings: Proceedings of Smart Graphics, pp. 255--262, 2008.
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Abstract:
We present a texture-based method to hatch anatomical structures derived from clinical volume datasets. We consider intervention planning, where object and shape recognition are supported by adding hatching lines to the anatomical model. The major contribution of this paper is to enhance the curvature-based hatching of anatomical surfaces by incorporating model-based preferential directions of the underlying anatomical structures. For this purpose, we apply our method on vessels and elongated muscles. Additionally, the whole hatching process is performed without time-consuming user interaction for de?ning stroke direction and surface parameterization. Moreover, our approach ful?lls requirements for interactive explorations like frame coherence and real time capability.