Translational-invariant dictionaries for compressed sensing in magnetic resonance imaging

Christopher A. Baker; Kevin King; Dong Liang; Leslie Ying

doi:10.1109/ISBI.2011.5872709

Translational-invariant dictionaries for compressed sensing in magnetic resonance imaging

Christopher A. Baker
, Kevin King
, Dong Liang
, Leslie Ying

Department of Biomedical Engineering

University of Wisconsin-Milwaukee
GE Healthcare United States

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

22 Scopus citations

Abstract

A sparse representation is an essential part of compressed sensing (CS). The discrete wavelet transform has been widely used to sparsely represent magnetic resonance images for CS applications. Artifacts usually exist in CS reconstruction when the wavelet transform is used alone. In this work, we investigate improving the image reconstruction quality through redundant translational-invariant sparsifying transforms. Cycle spinning is used with the wavelet transform and overlapping patches are used with the discrete cosine transform to achieve translational invariance. Experimental results show significant improvement in artifact reduction when contrasted with non-translational invariant transforms.

Original language	English
Title of host publication	2011 8th IEEE International Symposium on Biomedical Imaging
Subtitle of host publication	From Nano to Macro, ISBI'11
Pages	1602-1605
Number of pages	4
DOIs	https://doi.org/10.1109/ISBI.2011.5872709
State	Published - 2011
Event	2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11 - Chicago, IL, United States Duration: Mar 30 2011 → Apr 2 2011

Publication series

Name	Proceedings - International Symposium on Biomedical Imaging
ISSN (Print)	1945-7928
ISSN (Electronic)	1945-8452

Conference

Conference	2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11
Country/Territory	United States
City	Chicago, IL
Period	03/30/11 → 04/2/11

Keywords

Compressed Sensing
Magnetic Resonance Imaging
Translational Invariance
Wavelet Transforms

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10.1109/ISBI.2011.5872709

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Baker, C. A., King, K., Liang, D., & Ying, L. (2011). Translational-invariant dictionaries for compressed sensing in magnetic resonance imaging. In 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11 (pp. 1602-1605). Article 5872709 (Proceedings - International Symposium on Biomedical Imaging). https://doi.org/10.1109/ISBI.2011.5872709

@inproceedings{86a9daf36ad24a3dae6ef4d0f6d16aba,

title = "Translational-invariant dictionaries for compressed sensing in magnetic resonance imaging",

abstract = "A sparse representation is an essential part of compressed sensing (CS). The discrete wavelet transform has been widely used to sparsely represent magnetic resonance images for CS applications. Artifacts usually exist in CS reconstruction when the wavelet transform is used alone. In this work, we investigate improving the image reconstruction quality through redundant translational-invariant sparsifying transforms. Cycle spinning is used with the wavelet transform and overlapping patches are used with the discrete cosine transform to achieve translational invariance. Experimental results show significant improvement in artifact reduction when contrasted with non-translational invariant transforms.",

keywords = "Compressed Sensing, Magnetic Resonance Imaging, Translational Invariance, Wavelet Transforms",

author = "Baker, \{Christopher A.\} and Kevin King and Dong Liang and Leslie Ying",

year = "2011",

doi = "10.1109/ISBI.2011.5872709",

language = "English",

isbn = "9781424441280",

series = "Proceedings - International Symposium on Biomedical Imaging",

pages = "1602--1605",

booktitle = "2011 8th IEEE International Symposium on Biomedical Imaging",

note = "2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11 ; Conference date: 30-03-2011 Through 02-04-2011",

}

Baker, CA, King, K, Liang, D & Ying, L 2011, Translational-invariant dictionaries for compressed sensing in magnetic resonance imaging. in 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11., 5872709, Proceedings - International Symposium on Biomedical Imaging, pp. 1602-1605, 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11, Chicago, IL, United States, 03/30/11. https://doi.org/10.1109/ISBI.2011.5872709

Translational-invariant dictionaries for compressed sensing in magnetic resonance imaging. / Baker, Christopher A.; King, Kevin; Liang, Dong et al.
2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11. 2011. p. 1602-1605 5872709 (Proceedings - International Symposium on Biomedical Imaging).

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

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AU - King, Kevin

AU - Liang, Dong

AU - Ying, Leslie

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N2 - A sparse representation is an essential part of compressed sensing (CS). The discrete wavelet transform has been widely used to sparsely represent magnetic resonance images for CS applications. Artifacts usually exist in CS reconstruction when the wavelet transform is used alone. In this work, we investigate improving the image reconstruction quality through redundant translational-invariant sparsifying transforms. Cycle spinning is used with the wavelet transform and overlapping patches are used with the discrete cosine transform to achieve translational invariance. Experimental results show significant improvement in artifact reduction when contrasted with non-translational invariant transforms.

AB - A sparse representation is an essential part of compressed sensing (CS). The discrete wavelet transform has been widely used to sparsely represent magnetic resonance images for CS applications. Artifacts usually exist in CS reconstruction when the wavelet transform is used alone. In this work, we investigate improving the image reconstruction quality through redundant translational-invariant sparsifying transforms. Cycle spinning is used with the wavelet transform and overlapping patches are used with the discrete cosine transform to achieve translational invariance. Experimental results show significant improvement in artifact reduction when contrasted with non-translational invariant transforms.

KW - Compressed Sensing

KW - Magnetic Resonance Imaging

KW - Translational Invariance

KW - Wavelet Transforms

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DO - 10.1109/ISBI.2011.5872709

M3 - Conference contribution

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SN - 9781424441280

T3 - Proceedings - International Symposium on Biomedical Imaging

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BT - 2011 8th IEEE International Symposium on Biomedical Imaging

T2 - 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11

Y2 - 30 March 2011 through 2 April 2011

ER -

Translational-invariant dictionaries for compressed sensing in magnetic resonance imaging

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Keywords

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