Optimized GPU Framework for Ultrasound B-Mode Imaging
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}
}
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.
May 18, 2011 by hgpu
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