Artifact Reduction in Compressed Sensing Averaging Techniques for High-Resolution Magnetic Resonance Images

This study aims to introduce a new compressed sensing averaging (CSA) technique for the reduction of blurring and/or ringing artifacts, depending on the k-space sampling ratio. A full k-space dataset and three randomly undersampled datasets were obtained for CSA images in a brain phantom and a healt...

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Autores principales:	Jeong-Min Shim, Young-Bo Kim, Chang-Ki Kang
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	compressed sensing MRI CS averaging keyhole technique fast magnetic resonance imaging Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/d5dfafebfacb4ec68bebd99802aa4423
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spelling	oai:doaj.org-article:d5dfafebfacb4ec68bebd99802aa44232021-11-11T14:57:18ZArtifact Reduction in Compressed Sensing Averaging Techniques for High-Resolution Magnetic Resonance Images10.3390/app112198022076-3417https://doaj.org/article/d5dfafebfacb4ec68bebd99802aa44232021-10-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/21/9802https://doaj.org/toc/2076-3417This study aims to introduce a new compressed sensing averaging (CSA) technique for the reduction of blurring and/or ringing artifacts, depending on the k-space sampling ratio. A full k-space dataset and three randomly undersampled datasets were obtained for CSA images in a brain phantom and a healthy subject. An additional simulation was performed to assess the effect of the undersampling ratio on the images and the signal-to-noise ratios (SNRs). The image sharpness, spatial resolution, and contrast between tissues were analyzed and compared with other CSA techniques. Compared to CSA with multiple acquisition (CSAM) at 25%, 35%, and 45% undersampling, the reduction rates of the k-space lines of CSA with keyhole (CSAK) were 10%, 15%, and 22%, respectively, and the acquisition time was reduced by 16%, 23%, and 32%, respectively. In the simulation performed with a full sampling k-space dataset, the SNR decreased to 10.41, 9.80, and 8.86 in the white matter and 9.69, 9.35, and 8.46 in the gray matter, respectively. In addition, the ringing artifacts became substantially more predominant as the number of sampling lines decreased. The 50% modulation transfer functions were 0.38, 0.43, and 0.54 line pairs per millimeter for CSAM, CSAK with high-frequency sharing (CSAKS), and CSAK with high-frequency copying (CSAKC), respectively. In this study, we demonstrated that the smaller the sampling line, the more severe the ringing artifact, and that the CSAKC technique proposed to overcome the artifacts that occur when using CSA techniques did not generate artifacts, while it increased spatiotemporal resolution.Jeong-Min ShimYoung-Bo KimChang-Ki KangMDPI AGarticlecompressed sensing MRICS averagingkeyhole techniquefast magnetic resonance imagingTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 9802, p 9802 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	compressed sensing MRI CS averaging keyhole technique fast magnetic resonance imaging Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
spellingShingle	compressed sensing MRI CS averaging keyhole technique fast magnetic resonance imaging Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Jeong-Min Shim Young-Bo Kim Chang-Ki Kang Artifact Reduction in Compressed Sensing Averaging Techniques for High-Resolution Magnetic Resonance Images
description	This study aims to introduce a new compressed sensing averaging (CSA) technique for the reduction of blurring and/or ringing artifacts, depending on the k-space sampling ratio. A full k-space dataset and three randomly undersampled datasets were obtained for CSA images in a brain phantom and a healthy subject. An additional simulation was performed to assess the effect of the undersampling ratio on the images and the signal-to-noise ratios (SNRs). The image sharpness, spatial resolution, and contrast between tissues were analyzed and compared with other CSA techniques. Compared to CSA with multiple acquisition (CSAM) at 25%, 35%, and 45% undersampling, the reduction rates of the k-space lines of CSA with keyhole (CSAK) were 10%, 15%, and 22%, respectively, and the acquisition time was reduced by 16%, 23%, and 32%, respectively. In the simulation performed with a full sampling k-space dataset, the SNR decreased to 10.41, 9.80, and 8.86 in the white matter and 9.69, 9.35, and 8.46 in the gray matter, respectively. In addition, the ringing artifacts became substantially more predominant as the number of sampling lines decreased. The 50% modulation transfer functions were 0.38, 0.43, and 0.54 line pairs per millimeter for CSAM, CSAK with high-frequency sharing (CSAKS), and CSAK with high-frequency copying (CSAKC), respectively. In this study, we demonstrated that the smaller the sampling line, the more severe the ringing artifact, and that the CSAKC technique proposed to overcome the artifacts that occur when using CSA techniques did not generate artifacts, while it increased spatiotemporal resolution.
format	article
author	Jeong-Min Shim Young-Bo Kim Chang-Ki Kang
author_facet	Jeong-Min Shim Young-Bo Kim Chang-Ki Kang
author_sort	Jeong-Min Shim
title	Artifact Reduction in Compressed Sensing Averaging Techniques for High-Resolution Magnetic Resonance Images
title_short	Artifact Reduction in Compressed Sensing Averaging Techniques for High-Resolution Magnetic Resonance Images
title_full	Artifact Reduction in Compressed Sensing Averaging Techniques for High-Resolution Magnetic Resonance Images
title_fullStr	Artifact Reduction in Compressed Sensing Averaging Techniques for High-Resolution Magnetic Resonance Images
title_full_unstemmed	Artifact Reduction in Compressed Sensing Averaging Techniques for High-Resolution Magnetic Resonance Images
title_sort	artifact reduction in compressed sensing averaging techniques for high-resolution magnetic resonance images
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/d5dfafebfacb4ec68bebd99802aa4423
work_keys_str_mv	AT jeongminshim artifactreductionincompressedsensingaveragingtechniquesforhighresolutionmagneticresonanceimages AT youngbokim artifactreductionincompressedsensingaveragingtechniquesforhighresolutionmagneticresonanceimages AT changkikang artifactreductionincompressedsensingaveragingtechniquesforhighresolutionmagneticresonanceimages
_version_	1718437931439357952

Artifact Reduction in Compressed Sensing Averaging Techniques for High-Resolution Magnetic Resonance Images

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