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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| Language: | English |
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MDPI AG
2021-10-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/11/21/9802 |
| _version_ | 1797512954441105408 |
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| 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 |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-10T06:07:59Z |
| format | Article |
| id | doaj.art-d5dfafebfacb4ec68bebd99802aa4423 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T06:07:59Z |
| publishDate | 2021-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-d5dfafebfacb4ec68bebd99802aa44232023-11-22T20:23:20ZengMDPI AGApplied Sciences2076-34172021-10-011121980210.3390/app11219802Artifact Reduction in Compressed Sensing Averaging Techniques for High-Resolution Magnetic Resonance ImagesJeong-Min Shim0Young-Bo Kim1Chang-Ki Kang2Neuroscience Research Institute, Gachon University, Incheon 21565, KoreaNeuroscience Research Institute, Gachon University, Incheon 21565, KoreaNeuroscience Research Institute, Gachon University, Incheon 21565, KoreaThis 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.https://www.mdpi.com/2076-3417/11/21/9802compressed sensing MRICS averagingkeyhole techniquefast magnetic resonance imaging |
| spellingShingle | Jeong-Min Shim Young-Bo Kim Chang-Ki Kang Artifact Reduction in Compressed Sensing Averaging Techniques for High-Resolution Magnetic Resonance Images Applied Sciences compressed sensing MRI CS averaging keyhole technique fast magnetic resonance imaging |
| title | 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_short | 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 |
| topic | compressed sensing MRI CS averaging keyhole technique fast magnetic resonance imaging |
| url | https://www.mdpi.com/2076-3417/11/21/9802 |
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