Interactive volume visualization on a heterogeneous message-passing multicomputer

State, Andrei; McAllister, Jonathan; Neumann, Ulrich; Chen, Hong; Cullip, T; Chen, David T.; Fuchs, Henry

doi:10.1145/199404.199416

Cited by 8 publications

(2 citation statements)

References 21 publications

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“…It should produce views with sufficient quality in the shortest feasible time. A possible solution is to do rendering calculations in hardware or across multiple processors, which considerably speeds up volume rendering (Lorensen and Cline 1987;Yoo et al 1992;State et al 1995). For the case in which this kind of hardware is not available, algorithms have been developed to accelerate volume rendering in software (Bergman et al 1986;Levoy 1990a, b, c;Montani and Scopigno 1990;Nielson and Hamann 1990;Shu and Lin 1991).…”

Section: Introductionmentioning

confidence: 99%

Fast volume render techniques for interactive analysis

Noordmans

Smeulders

Voort

1997

The Visual Computer

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General rights It is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), other than for strictly personal, individual use, unless the work is under an open content license (like Creative Commons). Disclaimer/Complaints regulationsIf you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating your reasons. In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website. Please Ask the Library: http://uba.uva.nl/en/contact, or a letter to: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam, The Netherlands. You will be contacted as soon as possible. Without graphics hardware, interactive volume rendering is almost impossible with the current generation of computers and software. We describe the implementation of a volume renderer for interactive analysis of confocal images. We propose several techniques to accelerate the rendering of grey-value volumes. We propose to illuminate the volume selectively with ray templates to get a proper shadow cue in the shortest feasible time. In the viewing phase, rendering is distinctively accelerated for four user interactions: (1) a total change by successive adaptive refinement, (2) an unknown change in the view with this refinement strategy combined with suspended interpolation, (3) a known change in the view by recalculating only that part and (4) a view translation by recalculating the uncovered part.

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Section: Introductionmentioning

confidence: 99%

Fast volume render techniques for interactive analysis

Noordmans

Smeulders

Voort

1997

The Visual Computer

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“…The majority of the parallel computers developed to date are based on processors built on the Von Neumann principle. Many researchers had tried to improve the processing speed by using MIMD concept but in a heterogeneous environment [1,2,3]. Though some has achieved very good speedup, the setback of this is that it can become application specific.…”

Section: Introductionmentioning

confidence: 99%

Fast processing of medical images using a new parallel architecture, the Hybrid System

Leo

Schröder²

Proceedings Fifth IEEE Southwest Symposium on Image Analysis and Interpretation

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This paper describes an implementation of VolumeRendering on a new parallel architectural system, the Hybrid System. The Hybrid System is a combination of SIMD system with an MIMD system. For such an architecture, we have developed a new Volume Rendering algorithm called Slice Orientation. Using this new parallel architecture on the visualization algorithm, we have achieved speed-up rates more than its corresponding MIMD can achieve alone. In this paper, we also present a general formula for determining the Speedup of the Hybrid System so that accurate predictions can be made on the performance of the Hybrid System.

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