Title :
Compressed Sensing for RF Signal Reconstruction in B-model Ultrasound Imaging
Author :
Hua, Shaoyan ; Yuchi, Ming ; Ding, Mingyue
Author_Institution :
Biomed. Eng. Dept., Huazhong Univ. of Sci. & Technol., Wuhan, China
Abstract :
This paper proposed the a compressed sensing (CS)technique to ultrasound imaging and address the feasibility of compressive sensing theory for RF signal reconstruction in B-model medical ultrasound. with partial Fourier sampling, we compare different reconstruction algorithm to the simulation RF signal. reconstruction from 50% of the samples of original numerical cyst phantom show temperate information loss and feasibility of application CS in medical ultrasound.
Keywords :
biomedical ultrasonics; compressed sensing; medical image processing; signal reconstruction; B-model medical ultrasound; B-model ultrasound imaging; RF signal reconstruction; compressed sensing; compressive sensing theory; partial Fourier sampling; Biomedical imaging; Compressed sensing; Image reconstruction; Minimization; RF signals; Ultrasonic imaging; beaforming; compressed sensing; reconstruction;
Conference_Titel :
Intelligent Computation and Bio-Medical Instrumentation (ICBMI), 2011 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-1-4577-1152-7
DOI :
10.1109/ICBMI.2011.8
