TY - GEN
T1 - Discover layered structure in ultrasound images with a joint sparse representation model
AU - Duan, Junbo
AU - Zhong, Hui
AU - Jing, Bowen
AU - Zhang, Siyuan
AU - Wan, Mingxi
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/11/13
Y1 - 2015/11/13
N2 - Deconvolution can improve the resolution of ultrasound system since the effect of point spread function can be removed. Traditional methods carry out the deconvolution line by line, so the neighborhood information are unused. A joint sparse model is proposed in this work to discover layered structure in ultrasound images. The model joints the axial deconvolution with a sparse lateral constraint. The model was tested on simulation and real data, and results support the enhanced performance in terms of resolution.
AB - Deconvolution can improve the resolution of ultrasound system since the effect of point spread function can be removed. Traditional methods carry out the deconvolution line by line, so the neighborhood information are unused. A joint sparse model is proposed in this work to discover layered structure in ultrasound images. The model joints the axial deconvolution with a sparse lateral constraint. The model was tested on simulation and real data, and results support the enhanced performance in terms of resolution.
UR - https://www.scopus.com/pages/publications/84962019022
U2 - 10.1109/ULTSYM.2015.0323
DO - 10.1109/ULTSYM.2015.0323
M3 - 会议稿件
AN - SCOPUS:84962019022
T3 - 2015 IEEE International Ultrasonics Symposium, IUS 2015
BT - 2015 IEEE International Ultrasonics Symposium, IUS 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE International Ultrasonics Symposium, IUS 2015
Y2 - 21 October 2015 through 24 October 2015
ER -