Acceleration Method of 3D Medical Images Registration Based on Compute Unified Device Architecture

Issue title: Frontiers in Biomedical Engineering and Biotechnology – Proceedings of the 2nd International Conference on Biomedical Engineering and Biotechnology, 11–13 October 2013, Wuhan, China

Article type: Research Article

Authors: Meng, Lu^{; ;}

Affiliations: College of Information Science and Engineering, Northeastern University, Shenyang, China

Note: [] Acceleration Method of 3D Medical Images Registration Based on Compute Unified Device Architecture

Note: [] E-mail: menglu1982@gmail.com

Abstract: Compute Unified Device Architecture (CUDA) is a parallel computing platform and programming model invented by NVIDIA. It enables dramatic increase in computing performance via the power of the graphics processing unit (GPU). In medical image analysis, 3D image registration generally takes relatively long time, which is not feasible for clinical applications. To solve this problem, this paper proposed a high performance computational method based on CUDA, which took full advantage of GPU parallel computing under CUDA architecture combined with image multiple scale and maximum mutual information. Experiments showed that this algorithm can not only maintain the registration accuracy but also greatly increase the speed of registration process and meet the real-time requirement of clinical application.

Keywords: Three dimensional image registration, CUDA acceleration, mutual information, multiple scale

DOI: 10.3233/BME-130910

Journal: Bio-Medical Materials and Engineering, vol. 24, no. 1, pp. 1109-1116, 2014