Conference article

Using a GPU-based Framework for Interactive Tone Mapping of Medical Volume Data

Matthias Raspe
Computer Graphics Working Group, Institute for Computational Visualistics, University of Koblenz-Landau, Germany

Stefan Müller
Computer Graphics Working Group, Institute for Computational Visualistics, University of Koblenz-Landau, Germany

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Published in: SIGRAD 2007. The Annual SIGRAD Conference; Special Theme: Computer Graphics in Healthcare; November 28-29; 2007; Uppsala; Sweden

Linköping Electronic Conference Proceedings 28:3, p. 3–10

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Published: 2007-12-20

ISBN: 978-91-7393-990-4

ISSN: 1650-3686 (print), 1650-3740 (online)

Abstract

Medical workstations nowadays visualize large amounts of data from image acquisition systems that have dynamic ranges usually much higher than standard devices can display. Inorder to examine the data or control other processing steps; the user specifies windowing parameters to map the inputvalues to the displayable output range. While this operation can be performed efficiently even on large datasets by using simple lookup tables; no acceptable performance is achieved when advanced algorithms from high dynamic range imaging are needed. Especially data from functional imaging modalities has a much higher dynamic range and requires considerable interaction for proper visualization using the traditional windowing approach. Therefore; we propose to integrate tone mapping algorithms into the visualization pipeline of volume data by exploiting modern graphic shardware. To allow for a flexible implementation and integration with other processing steps; we will present our programming framework and compare the performance to CPUimplementations. In addition; we will discuss different tone mapping approaches in consideration of miscellaneous medical modalities and the role of transfer functions in the context of high dynamic range rendering.

Keywords

Graphicshardware; volumedataprocessing; medicalvisualization; tonemapping

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