Compressed Sensing Photoacoustic Imaging Based on Fast Alternating Direction Algorithm

Compressed Sensing Photoacoustic Imaging Based on Fast Alternating Direction Algorithm

Photoacoustic imaging (PAI) has been employed to reconstruct endogenous optical contrast present in tissues. At the cost of longer calculations, a compressive sensing reconstruction scheme can achieve artifact-free imaging with fewer measurements. In this paper, an effective acceleration framework u...

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Main Authors: Liu, Xueyan, Peng, Dong, Guo, Wei, Ma, Xibo, Yang, Xin, Tian, Jie
Format: Online
Language:English
Published: Hindawi Publishing Corporation 2012
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3546493/
id pubmed-3546493
recordtype oai_dc
spelling pubmed-35464932013-01-30 Compressed Sensing Photoacoustic Imaging Based on Fast Alternating Direction Algorithm Liu, Xueyan Peng, Dong Guo, Wei Ma, Xibo Yang, Xin Tian, Jie Research Article Photoacoustic imaging (PAI) has been employed to reconstruct endogenous optical contrast present in tissues. At the cost of longer calculations, a compressive sensing reconstruction scheme can achieve artifact-free imaging with fewer measurements. In this paper, an effective acceleration framework using the alternating direction method (ADM) was proposed for recovering images from limited-view and noisy observations. Results of the simulation demonstrated that the proposed algorithm could perform favorably in comparison to two recently introduced algorithms in computational efficiency and data fidelity. In particular, it ran considerably faster than these two methods. PAI with ADM can improve convergence speed with fewer ultrasonic transducers, enabling a high-performance and cost-effective PAI system for biomedical applications. Hindawi Publishing Corporation 2012 2012-12-30 /pmc/articles/PMC3546493/ /pubmed/23365553 http://dx.doi.org/10.1155/2012/206214 Text en Copyright © 2012 Xueyan Liu et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
repository_type Open Access Journal
institution_category Foreign Institution
institution US National Center for Biotechnology Information
building NCBI PubMed
collection Online Access
language English
format Online
author Liu, Xueyan
Peng, Dong
Guo, Wei
Ma, Xibo
Yang, Xin
Tian, Jie
spellingShingle Liu, Xueyan
Peng, Dong
Guo, Wei
Ma, Xibo
Yang, Xin
Tian, Jie
Compressed Sensing Photoacoustic Imaging Based on Fast Alternating Direction Algorithm
author_facet Liu, Xueyan
Peng, Dong
Guo, Wei
Ma, Xibo
Yang, Xin
Tian, Jie
author_sort Liu, Xueyan
title Compressed Sensing Photoacoustic Imaging Based on Fast Alternating Direction Algorithm
title_short Compressed Sensing Photoacoustic Imaging Based on Fast Alternating Direction Algorithm
title_full Compressed Sensing Photoacoustic Imaging Based on Fast Alternating Direction Algorithm
title_fullStr Compressed Sensing Photoacoustic Imaging Based on Fast Alternating Direction Algorithm
title_full_unstemmed Compressed Sensing Photoacoustic Imaging Based on Fast Alternating Direction Algorithm
title_sort compressed sensing photoacoustic imaging based on fast alternating direction algorithm
description Photoacoustic imaging (PAI) has been employed to reconstruct endogenous optical contrast present in tissues. At the cost of longer calculations, a compressive sensing reconstruction scheme can achieve artifact-free imaging with fewer measurements. In this paper, an effective acceleration framework using the alternating direction method (ADM) was proposed for recovering images from limited-view and noisy observations. Results of the simulation demonstrated that the proposed algorithm could perform favorably in comparison to two recently introduced algorithms in computational efficiency and data fidelity. In particular, it ran considerably faster than these two methods. PAI with ADM can improve convergence speed with fewer ultrasonic transducers, enabling a high-performance and cost-effective PAI system for biomedical applications.
publisher Hindawi Publishing Corporation
publishDate 2012
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3546493/
_version_ 1611947429708431360

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