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Proceedings Paper

Efficient hardware accelerated rendering of multiple volumes by data dependent local render functions
Author(s): Helko Lehmann; Dieter Geller; Jürgen Weese; Gundolf Kiefer
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Paper Abstract

The inspection of a patient's data for diagnostics, therapy planning or therapy guidance involves an increasing number of 3D data sets, e.g. acquired by different imaging modalities, with different scanner settings or at different times. To enable viewing of the data in one consistent anatomical context fused interactive renderings of multiple 3D data sets are desirable. However, interactive fused rendering of typical medical data sets using standard computing hardware remains a challenge. In this paper we present a method to render multiple 3D data sets. By introducing local rendering functions, i.e. functions that are adapted to the complexity of the visible data contained in the different regions of a scene, we can ensure that the overall performance for fused rendering of multiple data sets depends on the actual amount of visible data. This is in contrast to other approaches where the performance depends mainly on the number of rendered data sets. We integrate the method into a streaming rendering architecture with brick-based data representations of the volume data. This enables efficient handling of data sets that do not fit into the graphics board memory and a good utilization of the texture caches. Furthermore, transfer and rendering of volume data that does not contribute to the final image can be avoided. We illustrate the benefits of our method by experiments with clinical data.

Paper Details

Date Published: 22 March 2007
PDF: 11 pages
Proc. SPIE 6509, Medical Imaging 2007: Visualization and Image-Guided Procedures, 65091Z (22 March 2007); doi: 10.1117/12.709197
Show Author Affiliations
Helko Lehmann, Philips Research Labs. (Germany)
Dieter Geller, Philips Research Labs. (Germany)
Jürgen Weese, Philips Research Labs. (Germany)
Gundolf Kiefer, Univ. of Applied Sciences, Augsburg (Germany)


Published in SPIE Proceedings Vol. 6509:
Medical Imaging 2007: Visualization and Image-Guided Procedures
Kevin R. Cleary; Michael I. Miga, Editor(s)

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