Ripening Study Based on Multi-Structural Inversion of Cherry Tomato qMRI
This study introduces a non-destructive, quantitative method using low-field MRI to assess moisture mobility and content distribution in cherry tomatoes. This study developed an advanced 3D non-local mean denoising model to enhance tissue feature analysis and applied an optimized TransUNet model for...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-12-01
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| Series: | Foods |
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| Online Access: | https://www.mdpi.com/2304-8158/13/24/4056 |
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| _version_ | 1850086386013569024 |
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| author | Yanan Li Jingfa Yao Wenhui Yang Zhao Wei Peng Luan Guifa Teng |
| author_facet | Yanan Li Jingfa Yao Wenhui Yang Zhao Wei Peng Luan Guifa Teng |
| author_sort | Yanan Li |
| collection | DOAJ |
| description | This study introduces a non-destructive, quantitative method using low-field MRI to assess moisture mobility and content distribution in cherry tomatoes. This study developed an advanced 3D non-local mean denoising model to enhance tissue feature analysis and applied an optimized TransUNet model for structural segmentation, obtaining multi-echo data from six tissue types. The structural T2 relaxation inversion was refined by integrating an ACS-CIPSO algorithm. This approach addresses the challenge of low signal-to-noise ratios in multi-echo MRI images from low-field equipment by introducing an innovative solution that effectively reduces voxel noise while retaining structural relaxation variability. The study reveals that there are consistent patterns in the changes in moisture mobility and content across different structures of cherry tomatoes during their ripening process. Mono-exponential analysis reveals the patterns of changes in moisture mobility (T2) and content (A) across various structures. Furthermore, tri-exponential analysis elucidates the patterns of changes in bound water (T21), semi-bound water (T22), and free water (T23), along with their respective contents. These insights offer a novel perspective on the changes in moisture mobility throughout the ripening process of tomato fruit, thereby providing a research pathway for the precise assessment of moisture status and ripening expression in fruits. |
| format | Article |
| id | doaj-art-0dd0ba1194d7416ab3ee1c7aed8e9e59 |
| institution | DOAJ |
| issn | 2304-8158 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Foods |
| spelling | doaj-art-0dd0ba1194d7416ab3ee1c7aed8e9e592025-08-20T02:43:29ZengMDPI AGFoods2304-81582024-12-011324405610.3390/foods13244056Ripening Study Based on Multi-Structural Inversion of Cherry Tomato qMRIYanan Li0Jingfa Yao1Wenhui Yang2Zhao Wei3Peng Luan4Guifa Teng5College of Information Science & Technology, Hebei Agricultural University, Baoding 071001, ChinaHebei Software Engineering Department, Baoding 071030, ChinaInstitute of Electrical Engineering, Chinese Academy of Sciences, Zhongguancun Beiertiao NO.6, Beijing 100190, ChinaInstitute of Electrical Engineering, Chinese Academy of Sciences, Zhongguancun Beiertiao NO.6, Beijing 100190, ChinaCollege of Information Science & Technology, Hebei Agricultural University, Baoding 071001, ChinaCollege of Information Science & Technology, Hebei Agricultural University, Baoding 071001, ChinaThis study introduces a non-destructive, quantitative method using low-field MRI to assess moisture mobility and content distribution in cherry tomatoes. This study developed an advanced 3D non-local mean denoising model to enhance tissue feature analysis and applied an optimized TransUNet model for structural segmentation, obtaining multi-echo data from six tissue types. The structural T2 relaxation inversion was refined by integrating an ACS-CIPSO algorithm. This approach addresses the challenge of low signal-to-noise ratios in multi-echo MRI images from low-field equipment by introducing an innovative solution that effectively reduces voxel noise while retaining structural relaxation variability. The study reveals that there are consistent patterns in the changes in moisture mobility and content across different structures of cherry tomatoes during their ripening process. Mono-exponential analysis reveals the patterns of changes in moisture mobility (T2) and content (A) across various structures. Furthermore, tri-exponential analysis elucidates the patterns of changes in bound water (T21), semi-bound water (T22), and free water (T23), along with their respective contents. These insights offer a novel perspective on the changes in moisture mobility throughout the ripening process of tomato fruit, thereby providing a research pathway for the precise assessment of moisture status and ripening expression in fruits.https://www.mdpi.com/2304-8158/13/24/4056ripeninglow-field MRIT2 relaxation inversionstructuralmoisture |
| spellingShingle | Yanan Li Jingfa Yao Wenhui Yang Zhao Wei Peng Luan Guifa Teng Ripening Study Based on Multi-Structural Inversion of Cherry Tomato qMRI Foods ripening low-field MRI T2 relaxation inversion structural moisture |
| title | Ripening Study Based on Multi-Structural Inversion of Cherry Tomato qMRI |
| title_full | Ripening Study Based on Multi-Structural Inversion of Cherry Tomato qMRI |
| title_fullStr | Ripening Study Based on Multi-Structural Inversion of Cherry Tomato qMRI |
| title_full_unstemmed | Ripening Study Based on Multi-Structural Inversion of Cherry Tomato qMRI |
| title_short | Ripening Study Based on Multi-Structural Inversion of Cherry Tomato qMRI |
| title_sort | ripening study based on multi structural inversion of cherry tomato qmri |
| topic | ripening low-field MRI T2 relaxation inversion structural moisture |
| url | https://www.mdpi.com/2304-8158/13/24/4056 |
| work_keys_str_mv | AT yananli ripeningstudybasedonmultistructuralinversionofcherrytomatoqmri AT jingfayao ripeningstudybasedonmultistructuralinversionofcherrytomatoqmri AT wenhuiyang ripeningstudybasedonmultistructuralinversionofcherrytomatoqmri AT zhaowei ripeningstudybasedonmultistructuralinversionofcherrytomatoqmri AT pengluan ripeningstudybasedonmultistructuralinversionofcherrytomatoqmri AT guifateng ripeningstudybasedonmultistructuralinversionofcherrytomatoqmri |