Title :
Optimized GPU Framework for Ultrasound Color Flow Imaging
Author :
Fan, Zhengjuan ; Shi, Dan ; Liu, Dong C.
Author_Institution :
Comput. Sci. Coll., Sichuan Univ., Chengdu, China
Abstract :
A GPU framework for ultrasound color flow imaging (CFI) based on auto-correlation is presented. The parallel CFI processing framework implementation is mainly based on CUDA performance features, such as the memory selection strategy, applicable thread structure and high-throughput bandwidth. Parallel convolution algorithm and multi-channel championship algorithm are proposed. This CFI method achieves a frame rate of 300 fps from the Doppler signal, in which the number of scan lines is 44, the number of samples along the axial line is 510 and ensemble size is 16.
Keywords :
Doppler measurement; biomedical ultrasonics; convolution; medical image processing; parallel processing; ultrasonic imaging; CUDA performance features; Doppler signal; applicable thread structure; autocorrelation; axial line; ensemble size; frame rate; high-throughput bandwidth; memory selection strategy; multichannel championship algorithm; optimized GPU framework; parallel CFI processing; parallel convolution algorithm; scan lines; ultrasound color flow imaging; Autocorrelation; Blood flow; Cardiovascular diseases; Computer science; Convolution; Educational institutions; Parallel algorithms; Parameter estimation; Signal processing algorithms; Ultrasonic imaging;
Conference_Titel :
Bioinformatics and Biomedical Engineering (iCBBE), 2010 4th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-4712-1
Electronic_ISBN :
2151-7614
DOI :
10.1109/ICBBE.2010.5516481
