Title :
Real-Time Rendering of Temporal Volumetric Data on a GPU
Author :
She, Biao ; Boulanger, Pierre ; Noga, Michelle
Abstract :
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.
Keywords :
biomedical MRI; computerised tomography; data compression; medical computing; medical image processing; rendering (computer graphics); CT; GPU; MRI; data compression; data transmission; desktop computer; graphic hardware; graphic memory; optimized compression scheme; real-time rendering; space redundancy; static volumetric data; temporal volumetric data; time redundancy; volumetric rendering; Decoding; Equations; Graphics processing unit; Mathematical model; Real time systems; Rendering (computer graphics); Vector quantization; GPU; Real-time CT; Temporal data sendering;
Conference_Titel :
Information Visualisation (IV), 2011 15th International Conference on
Conference_Location :
London
Print_ISBN :
978-1-4577-0868-8