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Proceedings Paper

Ray-casting time-varying volume data sets with frame-to-frame coherence
Author(s): Dani Tost; Sergi Grau; Maria Ferre; Anna Puig
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Paper Abstract

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.

Paper Details

Date Published: 16 January 2006
PDF: 12 pages
Proc. SPIE 6060, Visualization and Data Analysis 2006, 606006 (16 January 2006); doi: 10.1117/12.649814
Show Author Affiliations
Dani Tost, Univ. Politècnica de Catalunya (Spain)
Sergi Grau, Univ. Politècnica de Catalunya (Spain)
Maria Ferre, Univ. Rovira i Virgili (Spain)
Anna Puig, Univ. de Barcelona (Spain)


Published in SPIE Proceedings Vol. 6060:
Visualization and Data Analysis 2006
Robert F. Erbacher; Jonathan C. Roberts; Matti T. Gröhn; Katy Börner, Editor(s)

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