4D volume rendering with the Shear Warp factorisation

Waterfall, Andrew E.; Atherton, Timothy J.; Anagnostou, Kostas

doi:10.1145/353888.353909

Cited by 22 publications

(26 citation statements)

References 19 publications

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“…Direct time-varying volume rendering can be subdivided into two main categories: one that treats time-varying data as a special case of an n-D model 14,15,16,17 , and the other, that treats separately the time dimension from the spatial dimensions 11,12,8,18,24,27 . In our biomedical applications, the number of frames of the animation is small in comparison to the number of samples of the datasets.…”

Section: Related Workmentioning

confidence: 99%

“…The temporal extension of the shear-warp technique 22 proposed by Anagnostou et al 18 uses an incremental Run-Length Encoding (RLE) of the volume. Whenever a change is detected over time, the RLE is updated by properly inserting the modified runs in the volume scan-line.…”

Section: Related Workmentioning

confidence: 99%

“…Since then, many frame-to-frame techniques have been proposed for polygon-based scenes in the context of visibility culling 3,4 and global illumination 5,6 . Temporal coherence has also been exploited for volume datasets in the extraction of isosurfaces from time-varying volumes 7,8,9,10 , as well as for Direct Volume Rendering (DVR) 11,12,13,14,15,16,17,8,18,19,20 . We here focus on the latter approach.…”

Section: Introductionmentioning

confidence: 99%

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Ray-casting time-varying volume data sets with frame-to-frame coherence

Tost

Grau

Ferre

et al. 2006

Visualization and Data Analysis 2006

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The goal of this paper is the proposal and evaluation of a ray-casting strategy that takes advantage of the spatial and temporal coherence in image-space as well as in object-space in order to speed up rendering. It is based on a double structure: in image-space, a temporal buffer that stores for each pixel the next instant of time in which the pixel must be recomputed, and in object-space a Temporal Run-Length Encoding of the voxel values through time. The algorithm skips empty and unchanged pixels through three different space-leaping strategies. It can compute the images sequentially in time or generate them simultaneously in batch. In addition, it can handle simultaneously several data modalities. Finally, an on-purpose out-of-core strategy is used to handle large datasets. The tests performed on two medical datasets and various phantom datasets show that the proposed strategy significantly speeds-up rendering.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Ray-casting time-varying volume data sets with frame-to-frame coherence

Tost

Grau

Ferre

et al. 2006

Visualization and Data Analysis 2006

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“…By examining the multiscale tree structures and wavelet coefficients, it is possible to perform feature extraction, tracking, and further compression more efficiently. Anagnostou et al [1] exploit temporal coherence to render only the changed parts of each slice and use runlength encoding to compress the spatial domain of the data. Lum et al [13] use temporal encoding of indexed volume data that can be quickly decoded in graphics hardware.…”

Section: Time-varying Volume Data Compressionmentioning

confidence: 99%

Time-varying, multivariate volume data reduction

Fout

Ahrens

2005

Proceedings of the 2005 ACM Symposium on Applied Computing

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Large-scale supercomputing is revolutionizing the way science is conducted. A growing challenge, however, is understanding the massive quantities of data produced by largescale simulations. The data, typically time-varying, multivariate, and volumetric, can occupy from hundreds of gigabytes to several terabytes of storage space. Transferring and processing volume data of such sizes is prohibitively expensive and resource intensive. Although it may not be possible to entirely alleviate these problems, data compression should be considered as part of a viable solution, especially when the primary means of data analysis is volume rendering. In this paper we present our study of multivariate compression, which exploits correlations among related variables, for volume rendering. Two configurations for multidimensional compression based on vector quantization are examined. We emphasize quality reconstruction and interactive rendering, which leads us to a solution using graphics hardware to perform on-the-fly decompression during rendering.

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“…Shen et al proposed a 4D volume rendering algorithm based on time-space partitioning (TSP) tree [Shen et al 1999], and the algorithm is improved by using new color-based error metrics [Ellsworth et al 2000]. The shear-warp factorisation algorithm is also extended to support timevarying volume rendering [Anagnostou et al 2000[Anagnostou et al , 2001. Texture mapping is active in the research of 4D volume rendering as well.…”

mentioning

confidence: 99%

Multidimensional volume visualization for PC-based microsurgical simulation system

Wang

Chui

Cai

et al. 2004

Proceedings of the 2004 ACM SIGGRAPH International Conference on Virtual Reality Continuum and Its Applications in Industry - V

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Microsurgery is a highly complex surgical procedure on small body parts performed by a dedicated surgical team. An operating microscope is typically used to obtain a precise view of the soft tissues. The complexity of the microsurgical procedure makes it a suitable application of virtual/augmented reality technology for training purpose. In this paper, we present an overview of our simulator and then describe the visualization work that reconstructs the magnified view of the operating area from medical images. Our 3D linear level octree(LLO) based volume rendering algorithm, and newly proposed dynamic linear level octree (DLLO) based 4D volume rendering algorithm are integrated with a texture-based renderer to form the visualization component. In contrast to the conventional algorithms, our method achieves fast rendering speed, reduced requirement for texture bandwidth and combined surface-volume rendering for realistic and interactive PCbased medical simulations.

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4D volume rendering with the Shear Warp factorisation

Cited by 22 publications

References 19 publications

Ray-casting time-varying volume data sets with frame-to-frame coherence

Ray-casting time-varying volume data sets with frame-to-frame coherence

Time-varying, multivariate volume data reduction

Multidimensional volume visualization for PC-based microsurgical simulation system

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