NDLI: A blind deconvolution approach to ultrasound imaging

Content Provider	IEEE Xplore Digital Library
Author	Chengpu Yu Cishen Zhang Lihua Xie
Copyright Year	1986
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 de convolution 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.
Page Count	10
File Size	648842
Starting Page	271
Ending Page	280
File Format	PDF
ISSN	08853010
Volume Number	59
Issue Number	2
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Ultrasonic imaging Deconvolution Reflectivity Imaging Vectors Null space Frequency domain analysis
Content Type	Text
Resource Type	Article
Subject	Acoustics and Ultrasonics Instrumentation Electrical and Electronic Engineering

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