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Optimized GPU Framework for Ultrasound B-Mode Imaging

Chunlan Xia, Anyuan Zhao, D.C. Liu
Coll. of Comput. Sci., Sichuan Univ., Chengdu, China
4th International Conference on Bioinformatics and Biomedical Engineering (iCBBE), 2010

@inproceedings{xia2010optimized,

   title={Optimized GPU Framework for Ultrasound B-Mode Imaging},

   author={Xia, C. and Zhao, A. and Liu, D.C.},

   booktitle={Bioinformatics and Biomedical Engineering (iCBBE), 2010 4th International Conference on},

   pages={1–4},

   organization={IEEE},

   year={2010}

}

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Ultrasound B-mode imaging is the basic image mode which can offer anatomic information of organs for clinical diagnosis. Because of the massive computation involved in baseband processing from focused radio-frequency (RF) signals followed by envelop detection, compression and scan conversion required for high quality B-mode imaging, existing medical systems always rely on complicated hardware in real time implementation. In this paper, we have proposed the parallel processing of RF signals to B-mode image based on commercial graphics processing unit (GPU) under NVIDIA CUDA platform. Experiments show that our GPU implementation can achieve a frame rate about 48 fps from RF signals of 206 x 2172 samples to an image with a size of 256 x 512. This is about 52 times faster than that based on CPU platform with the same image quality.
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