NDLI: Transfer function based adaptive decompression for volume rendering of large medical data sets

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Transfer function based adaptive decompression for volume rendering of large medical data sets

Content Provider	IEEE Xplore Digital Library
Author	Ljung, P. Lundstrom, C. Ynnerman, A. Museth, K.
Copyright Year	2004
Description	Author affiliation: Norrkoping Visualization & Interaction Studio, Linkoping Univ., Sweden (Ljung, P.)
Abstract	The size of standard volumetric data sets in medical imaging is rapidly increasing causing severe performance limitations in direct volume rendering pipelines. The methods presented in this paper exploit the medical knowledge embedded in the transfer function to reduce the required bandwidth in the pipeline. Typically, medical transfer functions cause large subsets of the volume to give little or no contribution to the rendered image. Thus, parts of the volume can be represented at low resolution while retaining overall visual quality. This paper introduces the use of transfer functions at decompression time to guide a level-of-detail selection scheme. The method may be used in combination with traditional lossy or lossless compression schemes. We base our current implementation on a multi-resolution data representation using compressed wavelet transformed blocks. The presented results using the adaptive decompression demonstrate a significant reduction in the required amount of data while maintaining rendering quality. Even though the focus of this paper is medical imaging, the results are applicable to volume rendering in many other domains.
Starting Page	25
Ending Page	32
File Size	821894
Page Count	8
File Format	PDF
ISBN	0780387813
DOI	10.1109/SVVG.2004.14
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-10-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Transfer functions Rendering (computer graphics) Biomedical imaging Image coding Data visualization Pipelines Medical diagnostic imaging Bandwidth Computed tomography Image resolution Image quality measures Volume compression Volume rendering Wavelet transform Multiresolution Transfer function Adaptive decompression Medical imaging
Content Type	Text
Resource Type	Article

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