Estimation of volume rendering efficiency with gpu in a parallel distributed environment

CFP Monte, F Piccoli, C Luciano, S Rizzi… - Procedia Computer …, 2013 - Elsevier
CFP Monte, F Piccoli, C Luciano, S Rizzi, G Bianchini, PC Scutari
Procedia Computer Science, 2013Elsevier
Visualization methods of medical imagery based on volumetric data constitute a
fundamental tool for medical diagnosis, training and pre-surgical planning. Often, large
volume sizes and/or the complexity of the required computations present se-rious obstacles
for reaching higher levels of realism and real-time performance. Performance and efficiency
are two critical aspects in traditional algorithms based on complex lighting models. To
overcome these problems, a volume rendering algo-rithm, PD-Render intra for individual …
Visualization methods of medical imagery based on volumetric data constitute a fundamental tool for medical diagnosis, training and pre-surgical planning. Often, large volume sizes and/or the complexity of the required computations present se- rious obstacles for reaching higher levels of realism and real-time performance. Performance and efficiency are two critical aspects in traditional algorithms based on complex lighting models. To overcome these problems, a volume rendering algo- rithm, PD-Render intra for individual networked nodes in a parallel distributed architecture with a single GPU per node is presented in this paper. The implemented algorithm is able to achieve photorealistic rendering as well as a high signal-to- noise ratio at interactive frame rates. Experiments show excellent results in terms of efficiency and performance for rendering medical volumes in real time.
Elsevier
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