Title :
Implementation of 3D SRAD Algorithm on CUDA
Author :
Zhu, Hongbing ; Chen, Ying ; Gu, Jinguang ; Wu, Jianguo ; Eguchi, Kei
Abstract :
Speckle reducing an isotropic diffusion (SRAD) for three dimensional (3D) ultrasound images is an an isotropic diffusion approach for smoothing speckled imagery and is based on the conventional an isotropic diffusion and the traditional speckle reducing filter. The 3D SRAD has improved the quality of edge preservation and the smoothness of homogenous regions, but it requires much time to complete complex computation that affects its real-time application. To resolve this problem, one parallel 3D SRAD (3D pSRAD) was proposed on CUDA that is a general purpose parallel computing architecture and has solved many complex computational problems efficiently. In additional, a lot of experiments based on real images were employed to demonstrate the effectiveness and availability for the algorithm. The experimental results revealed a 60X parallel speedup over the original 3D SRAD.
Keywords :
biomedical ultrasonics; medical image processing; parallel architectures; 3D SRAD algorithm implementation; CUDA; edge preservation; general purpose parallel computing architecture; homogenous region smoothness; isotropic diffusion approach; speckle reducing anisotropic diffusion; speckle reducing filter; three dimensional ultrasound images; Intelligent networks; Intelligent systems; 3D SRAD; Anisotropic diffusion; CUDA; Parallel processing; Speckle reduction;
Conference_Titel :
Intelligent Networks and Intelligent Systems (ICINIS), 2011 4th International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4577-1626-3
DOI :
10.1109/ICINIS.2011.23