Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/102471
Title: A blind deconvolution approach to ultrasound imaging
Authors: Yu, Chengpu
Zhang, Cishen
Xie, Lihua
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Electronic systems
Issue Date: 2012
Source: Yu, C. P., Zhang, C. S., & Xie, L. H. (2012). A blind deconvolution approach to ultrasound imaging. IEEE transactions on ultrasonics, ferroelectrics and frequency control, 59(2), 271-280.
Series/Report no.: IEEE transactions on ultrasonics, ferroelectrics and frequency control
Abstract: In this paper, a single-input multiple-output (SIMO) channel model is introduced for the deconvolution process of ultrasound imaging; the ultrasound pulse is the single system input and tissue reflectivity functions are the channel impulse responses. A sparse regularized blind deconvolution model is developed by projecting the tissue reflectivity functions onto the null space of a cross-relation matrix and projecting the ultrasound pulse onto a low-resolution space. In this way, the computational load is greatly reduced and the estimation accuracy can be improved because the proposed deconvolution model contains fewer variables. Subsequently, an alternating direction method of multipliers (ADMM) algorithm is introduced to efficiently solve the proposed blind deconvolution problem. Finally, the performance of the proposed blind deconvolution method is examined using both computer simulated data and practical in vitro and in vivo data. The results show a great improvement in the quality of ultrasound images in terms of signal-to-noise ratio and spatial resolution gain.
URI: https://hdl.handle.net/10356/102471
http://hdl.handle.net/10220/16530
DOI: http://dx.doi.org/10.1109/TUFFC.2012.2187
metadata.item.grantfulltext: none
metadata.item.fulltext: No Fulltext
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