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Sound Speed Optimization Using Image Texture on CUDA

Xingwu He, Huaguo Yin, Honglin Zhou, Xia Zhang
Department of Electronics and Information Chengdu Vocational College of Agricultural Science and Technology Chengdu, China
Journal of Theoretical and Applied Information Technology, Vol. 43, No.1, 2012

@article{he2012sound,

   title={Sound Speed Optimization Using Image Texture on CUDA},

   author={He, Xingwu and Yin, Huaguo and Zhou, Honglin and Zhang, Xia},

   year={2012}

}

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The Compute Unified Device Architecture (CUDA) is a brand new parallel processing platform making use of the unified shader design of the most current Graphics Processing Units (GPUs) from NVIDIA. In this paper, we apply this revolutionary new technology to implement the sound speed optimization (SSO) with image texture analysis for medical ultrasound imaging. The sum and difference histogram of parallel texture mask production is also presented. This SSO method achieves 77ms for a group of alternative sound velocities that are from 1400 to 1700m/s every 10m/s a sample image with the size of 256 x 512, about 45 times faster than the CPU implementation. Testing results from GPU and CPU are compared in terms of decision results and program runtime with different image size.
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