Automatic method for individual parcellation of manganese-enhanced magnetic resonance imaging of rat brain
AimsTo construct an automatic method for individual parcellation of manganese-enhanced magnetic resonance imaging (MEMRI) of rat brain with high accuracy, which could preserve the inherent voxel intensity and Regions of interest (ROI) morphological characteristics simultaneously.Methods and resultsT...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-07-01
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| Series: | Frontiers in Neuroscience |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fnins.2022.954237/full |
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| author | Zhiguo Bao Tianhao Zhang Tianhao Zhang Tingting Pan Tingting Pan Wei Zhang Wei Zhang Shilun Zhao Shilun Zhao Hua Liu Hua Liu Binbin Nie Binbin Nie |
| author_facet | Zhiguo Bao Tianhao Zhang Tianhao Zhang Tingting Pan Tingting Pan Wei Zhang Wei Zhang Shilun Zhao Shilun Zhao Hua Liu Hua Liu Binbin Nie Binbin Nie |
| author_sort | Zhiguo Bao |
| collection | DOAJ |
| description | AimsTo construct an automatic method for individual parcellation of manganese-enhanced magnetic resonance imaging (MEMRI) of rat brain with high accuracy, which could preserve the inherent voxel intensity and Regions of interest (ROI) morphological characteristics simultaneously.Methods and resultsThe transformation relationship from standardized space to individual space was obtained by firstly normalizing individual image to the Paxinos space and then inversely transformed. On the other hand, all the regions defined in the atlas image were separated and resaved as binary mask images. Then, transforming the mask images into individual space via the inverse transformations and reslicing using the 4th B-spline interpolation algorithm. The boundary of these transformed regions was further refined by image erosion and expansion operator, and finally combined together to generate the individual parcellations. Moreover, two groups of MEMRI images were used for evaluation. We found that the individual parcellations were satisfied, and the inherent image intensity was preserved. The statistical significance of case-control comparisons was further optimized.ConclusionsWe have constructed a new automatic method for individual parcellation of rat brain MEMRI images, which could preserve the inherent voxel intensity and further be beneficial in case-control statistical analyses. This method could also be extended to other imaging modalities, even other experiments species. It would facilitate the accuracy and significance of ROI-based imaging analyses. |
| first_indexed | 2024-04-12T08:31:05Z |
| format | Article |
| id | doaj.art-aa03bd6cc24646cf82e59aa76c57771a |
| institution | Directory Open Access Journal |
| issn | 1662-453X |
| language | English |
| last_indexed | 2024-04-12T08:31:05Z |
| publishDate | 2022-07-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neuroscience |
| spelling | doaj.art-aa03bd6cc24646cf82e59aa76c57771a2022-12-22T03:40:12ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2022-07-011610.3389/fnins.2022.954237954237Automatic method for individual parcellation of manganese-enhanced magnetic resonance imaging of rat brainZhiguo Bao0Tianhao Zhang1Tianhao Zhang2Tingting Pan3Tingting Pan4Wei Zhang5Wei Zhang6Shilun Zhao7Shilun Zhao8Hua Liu9Hua Liu10Binbin Nie11Binbin Nie12First Affiliated Hospital of Henan University, Kaifeng, ChinaBeijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, ChinaSchool of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing, ChinaBeijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, ChinaPhysical Science and Technology College, Zhengzhou University, Zhengzhou, ChinaBeijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, ChinaSchool of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing, ChinaBeijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, ChinaSchool of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing, ChinaBeijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, ChinaSchool of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing, ChinaBeijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, ChinaSchool of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing, ChinaAimsTo construct an automatic method for individual parcellation of manganese-enhanced magnetic resonance imaging (MEMRI) of rat brain with high accuracy, which could preserve the inherent voxel intensity and Regions of interest (ROI) morphological characteristics simultaneously.Methods and resultsThe transformation relationship from standardized space to individual space was obtained by firstly normalizing individual image to the Paxinos space and then inversely transformed. On the other hand, all the regions defined in the atlas image were separated and resaved as binary mask images. Then, transforming the mask images into individual space via the inverse transformations and reslicing using the 4th B-spline interpolation algorithm. The boundary of these transformed regions was further refined by image erosion and expansion operator, and finally combined together to generate the individual parcellations. Moreover, two groups of MEMRI images were used for evaluation. We found that the individual parcellations were satisfied, and the inherent image intensity was preserved. The statistical significance of case-control comparisons was further optimized.ConclusionsWe have constructed a new automatic method for individual parcellation of rat brain MEMRI images, which could preserve the inherent voxel intensity and further be beneficial in case-control statistical analyses. This method could also be extended to other imaging modalities, even other experiments species. It would facilitate the accuracy and significance of ROI-based imaging analyses.https://www.frontiersin.org/articles/10.3389/fnins.2022.954237/fullindividual parcellationsROI-based analysismanganese-enhanced magnetic resonance imaging (MEMRI)rat brainstereotaxic template set |
| spellingShingle | Zhiguo Bao Tianhao Zhang Tianhao Zhang Tingting Pan Tingting Pan Wei Zhang Wei Zhang Shilun Zhao Shilun Zhao Hua Liu Hua Liu Binbin Nie Binbin Nie Automatic method for individual parcellation of manganese-enhanced magnetic resonance imaging of rat brain Frontiers in Neuroscience individual parcellations ROI-based analysis manganese-enhanced magnetic resonance imaging (MEMRI) rat brain stereotaxic template set |
| title | Automatic method for individual parcellation of manganese-enhanced magnetic resonance imaging of rat brain |
| title_full | Automatic method for individual parcellation of manganese-enhanced magnetic resonance imaging of rat brain |
| title_fullStr | Automatic method for individual parcellation of manganese-enhanced magnetic resonance imaging of rat brain |
| title_full_unstemmed | Automatic method for individual parcellation of manganese-enhanced magnetic resonance imaging of rat brain |
| title_short | Automatic method for individual parcellation of manganese-enhanced magnetic resonance imaging of rat brain |
| title_sort | automatic method for individual parcellation of manganese enhanced magnetic resonance imaging of rat brain |
| topic | individual parcellations ROI-based analysis manganese-enhanced magnetic resonance imaging (MEMRI) rat brain stereotaxic template set |
| url | https://www.frontiersin.org/articles/10.3389/fnins.2022.954237/full |
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