CPU-based real-time maximim intensity projection via fast matrix transposition using parallelization operations with AVX instruction set
- Authors
- Kye, H.; Lee, S.H.; Lee, J.
- Issue Date
- Jun-2018
- Publisher
- Springer New York LLC
- Keywords
- Maximum intensity projection; Matrix transposition; Parallelization; AVX instruction set; Volume rendering
- Citation
- Multimedia Tools and Applications, v.77, no.12, pp.15971 - 15994
- Journal Title
- Multimedia Tools and Applications
- Volume
- 77
- Number
- 12
- Start Page
- 15971
- End Page
- 15994
- URI
- http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/7360
- DOI
- 10.1007/s11042-017-5171-2
- ISSN
- 1380-7501
- 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. © 2017 Springer Science+Business Media, LLC
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - College of Information Technology > School of Computer Science and Engineering > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.