Abstract | ||
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Real-time rendering of static volumetric data is generally known to be a memory and computationally intensive process. With the advance of graphic hardware, especially GPU, it is now possible to do this using desktop computers. However, with the evolution of real-time CT and MRI technologies, volumetric rendering is an even bigger challenge. The first one is how to reduce the data transmission between the main memory and the graphic memory. The second one is how to efficiently take advantage of the time redundancy which exists in time-varying volumetric data. We proposed an optimized compression scheme that explores the time redundancy as well as space redundancy of time-varying volumetric data. The compressed data is then transmitted to graphic memory and directly rendered by the GPU, reducing significantly the data transfer between main memory and graphic memory. |
Year | DOI | Venue |
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2011 | 10.1109/IV.2011.85 | IV |
Keywords | Field | DocType |
computerised tomography,desktop computer,gpu,volumetric data,main memory,data compression,graphic hardware,temporal data sendering,rendering (computer graphics),static volumetric data,ct,time redundancy,biomedical mri,mri,temporal volumetric data,real-time rendering,medical computing,data transmission,graphic memory,space redundancy,volumetric rendering,medical image processing,optimized compression scheme,data transfer,real-time ct,temporal data,real time rendering,real time systems,real time,graphics hardware,vector quantization,mathematical model,decoding | Volume rendering,Data transmission,Computer graphics (images),Real-time rendering,Computer science,Vector quantization,Redundancy (engineering),Data compression,Graphics processing unit,Rendering (computer graphics) | Conference |
ISSN | ISBN | Citations |
1550-6037 | 978-1-4577-0868-8 | 1 |
PageRank | References | Authors |
0.35 | 7 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Biao She | 1 | 1 | 0.35 |
Pierre Boulanger | 2 | 70 | 8.24 |
Michelle Noga | 3 | 1 | 1.02 |