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- Title
CPU-based real-time maximim intensity projection via fast matrix transposition using parallelization operations with AVX instruction set.
- Authors
Kye, Heewon; Lee, Se Hee; Lee, Jeongjin
- Abstract
Rapid visualization is essential for maximum intensity projection (MIP) rendering, since the acquisition of a perceptual depth can require frequent changes of a viewing direction. In this paper, we propose a CPU-based real-time MIP method that uses parallelization operations with the AVX instruction set. We improve shear-warp based MIP rendering by resolving the bottle-neck problems of the previous method of a matrix transposition. We propose a novel matrix transposition method using the AVX instruction set to minimize bottle-neck problems. Experimental results show that the speed of MIP rendering on general CPU is faster than 20 frame-per-second (fps) for a 512 × 512 × 552 volume dataset. Our matrix transposition method can be applied to other image processing algorithms for faster processing.
- Subjects
VISUALIZATION; IMAGE processing; IMAGING systems; BIG data; SIGNAL processing
- Publication
Multimedia Tools & Applications, 2018, Vol 77, Issue 12, p15971
- ISSN
1380-7501
- Publication type
Article
- DOI
10.1007/s11042-017-5171-2