A Review on Parallel Medical Image Processing on GPU

Khor, Hui Liang and Liew, Siau-Chuin and Jasni, Mohamad Zain (2015) A Review on Parallel Medical Image Processing on GPU. In: IEEE 4th International Conference on Software Engineering and Computer Systems, 19-21 August 2015 , Kuantan, Pahang, Malaysia. pp. 45-48.. ISBN 978-1-4673-6722-6


Download (318kB) | Preview


An efficient implementation are necessary, as most medical imaging methods are computational expensive, and the amount of medical imaging data is growing .Graphic processing units (GPUs) can solve large data parallel problems at a higher speed than the traditional CPU, while being more affordable and energy efficient than distributed systems. This review investigates the use of GPUs to accelerate medical imaging methods. A set of criteria for efficient use of GPUs are defined. The review concludes that most medical image processing methods may benefit from GPU processing due to the methods’ data parallel structure and high thread count. However, factors such as synchronization, branch divergence and memory usage can limit the speedup.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Parallel computing; Medical image processing; GPU; Multicores
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics > QA76 Computer software
Faculty/Division: Faculty of Computer System And Software Engineering
Depositing User: Dr. Liew Siau Chuin
Date Deposited: 21 Oct 2015 04:09
Last Modified: 21 May 2018 06:14
URI: http://umpir.ump.edu.my/id/eprint/10662
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item