Medical image reconstruction based on Bayesian compressed sensing

Yu Hong Li; De Feng Wang; L. M. Lui; A. T. Ahuja; Pheng Ann Heng

doi:10.1109/ICMLC.2011.6016990

Medical image reconstruction based on Bayesian compressed sensing

Yu Hong Li^*
, De Feng Wang
, L. M. Lui
, A. T. Ahuja
, Pheng Ann Heng

^*Corresponding author for this work

Shenzhen Institute of Advanced Technology
Shenzhen Key Lab of Neuro Psychiatric Modulation
Chinese University of Hong Kong

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

A medical image reconstruction method based on sparse Bayesian compressed sensing is presented, and the method employs a hierarchical model of the Laplace prior to model the sparse wavelet coefficients and unknown images. The experiments are designed to compare the Bayesian Compressed Sensing (BCS) method with the Basis Pursuit (BP) algorithm and the Orthogonal Matching Pursuit (OMP) algorithm. The results imply that the presented algorithm exceeds the greedy algorithm and the linear programming such as BP and OMP etc.

Original language	English
Title of host publication	Proceedings of 2011 International Conference on Machine Learning and Cybernetics, ICMLC 2011
Publisher	IEEE Computer Society
Pages	1819-1824
Number of pages	6
ISBN (Print)	9781457703065
DOIs	https://doi.org/10.1109/ICMLC.2011.6016990
State	Published - 2011
Externally published	Yes
Event	10th International Conference on Machine Learning and Cybernetics, ICMLC 2011 - Guilin, Guangxi, China Duration: 10 Jul 2011 → 13 Jul 2011

Publication series

Name	Proceedings - International Conference on Machine Learning and Cybernetics
Volume	4
ISSN (Print)	2160-133X
ISSN (Electronic)	2160-1348

Conference

Conference	10th International Conference on Machine Learning and Cybernetics, ICMLC 2011
Country/Territory	China
City	Guilin, Guangxi
Period	10/07/11 → 13/07/11

Keywords

Compressed sensing
Gaussian distribution
Image reconstruction
Laplace prior
Marginal likelihood
Sparse Bayesian

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10.1109/ICMLC.2011.6016990

Cite this

Li, Y. H., Wang, D. F., Lui, L. M., Ahuja, A. T., & Heng, P. A. (2011). Medical image reconstruction based on Bayesian compressed sensing. In Proceedings of 2011 International Conference on Machine Learning and Cybernetics, ICMLC 2011 (pp. 1819-1824). Article 6016990 (Proceedings - International Conference on Machine Learning and Cybernetics; Vol. 4). IEEE Computer Society. https://doi.org/10.1109/ICMLC.2011.6016990

@inproceedings{23334f7b8ecf4ddfb020eedd620c0b94,

title = "Medical image reconstruction based on Bayesian compressed sensing",

abstract = "A medical image reconstruction method based on sparse Bayesian compressed sensing is presented, and the method employs a hierarchical model of the Laplace prior to model the sparse wavelet coefficients and unknown images. The experiments are designed to compare the Bayesian Compressed Sensing (BCS) method with the Basis Pursuit (BP) algorithm and the Orthogonal Matching Pursuit (OMP) algorithm. The results imply that the presented algorithm exceeds the greedy algorithm and the linear programming such as BP and OMP etc.",

keywords = "Compressed sensing, Gaussian distribution, Image reconstruction, Laplace prior, Marginal likelihood, Sparse Bayesian",

author = "Li, \{Yu Hong\} and Wang, \{De Feng\} and Lui, \{L. M.\} and Ahuja, \{A. T.\} and Heng, \{Pheng Ann\}",

year = "2011",

doi = "10.1109/ICMLC.2011.6016990",

language = "英语",

isbn = "9781457703065",

series = "Proceedings - International Conference on Machine Learning and Cybernetics",

publisher = "IEEE Computer Society",

pages = "1819--1824",

booktitle = "Proceedings of 2011 International Conference on Machine Learning and Cybernetics, ICMLC 2011",

address = "美国",

note = "10th International Conference on Machine Learning and Cybernetics, ICMLC 2011 ; Conference date: 10-07-2011 Through 13-07-2011",

}

Li, YH, Wang, DF, Lui, LM, Ahuja, AT & Heng, PA 2011, Medical image reconstruction based on Bayesian compressed sensing. in Proceedings of 2011 International Conference on Machine Learning and Cybernetics, ICMLC 2011., 6016990, Proceedings - International Conference on Machine Learning and Cybernetics, vol. 4, IEEE Computer Society, pp. 1819-1824, 10th International Conference on Machine Learning and Cybernetics, ICMLC 2011, Guilin, Guangxi, China, 10/07/11. https://doi.org/10.1109/ICMLC.2011.6016990

Medical image reconstruction based on Bayesian compressed sensing. / Li, Yu Hong; Wang, De Feng; Lui, L. M. et al.
Proceedings of 2011 International Conference on Machine Learning and Cybernetics, ICMLC 2011. IEEE Computer Society, 2011. p. 1819-1824 6016990 (Proceedings - International Conference on Machine Learning and Cybernetics; Vol. 4).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Medical image reconstruction based on Bayesian compressed sensing

AU - Li, Yu Hong

AU - Wang, De Feng

AU - Lui, L. M.

AU - Ahuja, A. T.

AU - Heng, Pheng Ann

PY - 2011

Y1 - 2011

N2 - A medical image reconstruction method based on sparse Bayesian compressed sensing is presented, and the method employs a hierarchical model of the Laplace prior to model the sparse wavelet coefficients and unknown images. The experiments are designed to compare the Bayesian Compressed Sensing (BCS) method with the Basis Pursuit (BP) algorithm and the Orthogonal Matching Pursuit (OMP) algorithm. The results imply that the presented algorithm exceeds the greedy algorithm and the linear programming such as BP and OMP etc.

AB - A medical image reconstruction method based on sparse Bayesian compressed sensing is presented, and the method employs a hierarchical model of the Laplace prior to model the sparse wavelet coefficients and unknown images. The experiments are designed to compare the Bayesian Compressed Sensing (BCS) method with the Basis Pursuit (BP) algorithm and the Orthogonal Matching Pursuit (OMP) algorithm. The results imply that the presented algorithm exceeds the greedy algorithm and the linear programming such as BP and OMP etc.

KW - Compressed sensing

KW - Gaussian distribution

KW - Image reconstruction

KW - Laplace prior

KW - Marginal likelihood

KW - Sparse Bayesian

UR - https://www.scopus.com/pages/publications/80155186805

U2 - 10.1109/ICMLC.2011.6016990

DO - 10.1109/ICMLC.2011.6016990

M3 - 会议稿件

AN - SCOPUS:80155186805

SN - 9781457703065

T3 - Proceedings - International Conference on Machine Learning and Cybernetics

SP - 1819

EP - 1824

BT - Proceedings of 2011 International Conference on Machine Learning and Cybernetics, ICMLC 2011

PB - IEEE Computer Society

T2 - 10th International Conference on Machine Learning and Cybernetics, ICMLC 2011

Y2 - 10 July 2011 through 13 July 2011

ER -

Medical image reconstruction based on Bayesian compressed sensing

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Keywords

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