Signal-to-Noise Ratio Enhancement of Single-Voxel In Vivo <sup>31</sup>P and <sup>1</sup>H Magnetic Resonance Spectroscopy in Mice Brain Data Using Low-Rank Denoising
Magnetic resonance spectroscopy (MRS) is a noninvasive technique for measuring metabolite concentration. It can be used for preclinical small animal brain studies using rodents to provide information about neurodegenerative diseases and metabolic disorders. However, data acquisition from small volum...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-11-01
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| Series: | Metabolites |
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| Online Access: | https://www.mdpi.com/2218-1989/12/12/1191 |
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| author | Yeong-Jae Jeon Shin-Eui Park Keun-A Chang Hyeon-Man Baek |
| author_facet | Yeong-Jae Jeon Shin-Eui Park Keun-A Chang Hyeon-Man Baek |
| author_sort | Yeong-Jae Jeon |
| collection | DOAJ |
| description | Magnetic resonance spectroscopy (MRS) is a noninvasive technique for measuring metabolite concentration. It can be used for preclinical small animal brain studies using rodents to provide information about neurodegenerative diseases and metabolic disorders. However, data acquisition from small volumes in a limited scan time is technically challenging due to its inherently low sensitivity. To mitigate this problem, this study investigated the feasibility of a low-rank denoising method in enhancing the quality of single voxel multinuclei (<sup>31</sup>P and <sup>1</sup>H) MRS data at 9.4 T. Performance was evaluated using in vivo MRS data from a normal mouse brain (<sup>31</sup>P and <sup>1</sup>H) and stroke mouse model (<sup>1</sup>H) by comparison with signal-to-noise ratios (SNRs), Cramer-Rao lower bounds (CRLBs), and metabolite concentrations of a linear combination of model analysis results. In <sup>31</sup>P MRS data, low-rank denoising resulted in improved SNRs and reduced metabolite quantification uncertainty compared with the original data. In <sup>1</sup>H MRS data, the method also improved the SNRs, CRLBs, but it performed better for <sup>31</sup>P MRS data with relatively simpler patterns compared to the <sup>1</sup>H MRS data. Therefore, we suggest that the low-rank denoising method can improve spectra SNR and metabolite quantification uncertainty in single-voxel in vivo <sup>31</sup>P and <sup>1</sup>H MRS data, and it might be more effective for <sup>31</sup>P MRS data. The main contribution of this study is that we demonstrated the effectiveness of the low-rank denoising method on small-volume single-voxel MRS data. We anticipate that our results will be useful for the precise quantification of low-concentration metabolites, further reducing data acquisition voxel size, and scan time in preclinical MRS studies. |
| first_indexed | 2024-03-09T16:06:15Z |
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| id | doaj.art-826d89e82c214d50b97fb30e3e67a80e |
| institution | Directory Open Access Journal |
| issn | 2218-1989 |
| language | English |
| last_indexed | 2024-03-09T16:06:15Z |
| publishDate | 2022-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Metabolites |
| spelling | doaj.art-826d89e82c214d50b97fb30e3e67a80e2023-11-24T16:37:15ZengMDPI AGMetabolites2218-19892022-11-011212119110.3390/metabo12121191Signal-to-Noise Ratio Enhancement of Single-Voxel In Vivo <sup>31</sup>P and <sup>1</sup>H Magnetic Resonance Spectroscopy in Mice Brain Data Using Low-Rank DenoisingYeong-Jae Jeon0Shin-Eui Park1Keun-A Chang2Hyeon-Man Baek3Department of Health Sciences and Technology, Gachon Advanced Institute for Health Sciences and Technology, Gachon University, Incheon 21999, Republic of KoreaDepartment of Biomedical Science, Lee Gil Ya Cancer and Diabetes Institute, Gachon University, Incheon 21999, Republic of KoreaDepartment of Health Sciences and Technology, Gachon Advanced Institute for Health Sciences and Technology, Gachon University, Incheon 21999, Republic of KoreaDepartment of Health Sciences and Technology, Gachon Advanced Institute for Health Sciences and Technology, Gachon University, Incheon 21999, Republic of KoreaMagnetic resonance spectroscopy (MRS) is a noninvasive technique for measuring metabolite concentration. It can be used for preclinical small animal brain studies using rodents to provide information about neurodegenerative diseases and metabolic disorders. However, data acquisition from small volumes in a limited scan time is technically challenging due to its inherently low sensitivity. To mitigate this problem, this study investigated the feasibility of a low-rank denoising method in enhancing the quality of single voxel multinuclei (<sup>31</sup>P and <sup>1</sup>H) MRS data at 9.4 T. Performance was evaluated using in vivo MRS data from a normal mouse brain (<sup>31</sup>P and <sup>1</sup>H) and stroke mouse model (<sup>1</sup>H) by comparison with signal-to-noise ratios (SNRs), Cramer-Rao lower bounds (CRLBs), and metabolite concentrations of a linear combination of model analysis results. In <sup>31</sup>P MRS data, low-rank denoising resulted in improved SNRs and reduced metabolite quantification uncertainty compared with the original data. In <sup>1</sup>H MRS data, the method also improved the SNRs, CRLBs, but it performed better for <sup>31</sup>P MRS data with relatively simpler patterns compared to the <sup>1</sup>H MRS data. Therefore, we suggest that the low-rank denoising method can improve spectra SNR and metabolite quantification uncertainty in single-voxel in vivo <sup>31</sup>P and <sup>1</sup>H MRS data, and it might be more effective for <sup>31</sup>P MRS data. The main contribution of this study is that we demonstrated the effectiveness of the low-rank denoising method on small-volume single-voxel MRS data. We anticipate that our results will be useful for the precise quantification of low-concentration metabolites, further reducing data acquisition voxel size, and scan time in preclinical MRS studies.https://www.mdpi.com/2218-1989/12/12/1191single voxel<sup>31</sup>P MRS<sup>1</sup>H MRSdenoisingmouse brainstroke |
| spellingShingle | Yeong-Jae Jeon Shin-Eui Park Keun-A Chang Hyeon-Man Baek Signal-to-Noise Ratio Enhancement of Single-Voxel In Vivo <sup>31</sup>P and <sup>1</sup>H Magnetic Resonance Spectroscopy in Mice Brain Data Using Low-Rank Denoising Metabolites single voxel <sup>31</sup>P MRS <sup>1</sup>H MRS denoising mouse brain stroke |
| title | Signal-to-Noise Ratio Enhancement of Single-Voxel In Vivo <sup>31</sup>P and <sup>1</sup>H Magnetic Resonance Spectroscopy in Mice Brain Data Using Low-Rank Denoising |
| title_full | Signal-to-Noise Ratio Enhancement of Single-Voxel In Vivo <sup>31</sup>P and <sup>1</sup>H Magnetic Resonance Spectroscopy in Mice Brain Data Using Low-Rank Denoising |
| title_fullStr | Signal-to-Noise Ratio Enhancement of Single-Voxel In Vivo <sup>31</sup>P and <sup>1</sup>H Magnetic Resonance Spectroscopy in Mice Brain Data Using Low-Rank Denoising |
| title_full_unstemmed | Signal-to-Noise Ratio Enhancement of Single-Voxel In Vivo <sup>31</sup>P and <sup>1</sup>H Magnetic Resonance Spectroscopy in Mice Brain Data Using Low-Rank Denoising |
| title_short | Signal-to-Noise Ratio Enhancement of Single-Voxel In Vivo <sup>31</sup>P and <sup>1</sup>H Magnetic Resonance Spectroscopy in Mice Brain Data Using Low-Rank Denoising |
| title_sort | signal to noise ratio enhancement of single voxel in vivo sup 31 sup p and sup 1 sup h magnetic resonance spectroscopy in mice brain data using low rank denoising |
| topic | single voxel <sup>31</sup>P MRS <sup>1</sup>H MRS denoising mouse brain stroke |
| url | https://www.mdpi.com/2218-1989/12/12/1191 |
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