Medical image registration utilizing tissue P systems
The tissue P system (TPS) possesses intrinsic attributes of parallel execution in comprehensive data and instruction space, which provides fast convergence during the transition from local to global optima. Method- In this study, we have proposed and built a TPSysIR framework using the TPS for image...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-08-01
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| Series: | Frontiers in Pharmacology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fphar.2022.949872/full |
| _version_ | 1818536934709919744 |
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| author | Saleem Sanatan Kujur Sudip Kumar Sahana |
| author_facet | Saleem Sanatan Kujur Sudip Kumar Sahana |
| author_sort | Saleem Sanatan Kujur |
| collection | DOAJ |
| description | The tissue P system (TPS) possesses intrinsic attributes of parallel execution in comprehensive data and instruction space, which provides fast convergence during the transition from local to global optima. Method- In this study, we have proposed and built a TPSysIR framework using the TPS for image registration that optimizes upon the mutual information (MI) similarity metric to find a global solution. Result- The model was tested on single- and multimodal brain MRI scans and other prominent optimization-based image registration techniques. Conclusion- Results show that, among all methods, TPSysIR provides better MI values with minimum deviation in a range of experiment setups conducted iteratively. |
| first_indexed | 2024-12-11T18:44:19Z |
| format | Article |
| id | doaj.art-9bf88616dd91480c93067270b1631787 |
| institution | Directory Open Access Journal |
| issn | 1663-9812 |
| language | English |
| last_indexed | 2024-12-11T18:44:19Z |
| publishDate | 2022-08-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Pharmacology |
| spelling | doaj.art-9bf88616dd91480c93067270b16317872022-12-22T00:54:31ZengFrontiers Media S.A.Frontiers in Pharmacology1663-98122022-08-011310.3389/fphar.2022.949872949872Medical image registration utilizing tissue P systemsSaleem Sanatan KujurSudip Kumar SahanaThe tissue P system (TPS) possesses intrinsic attributes of parallel execution in comprehensive data and instruction space, which provides fast convergence during the transition from local to global optima. Method- In this study, we have proposed and built a TPSysIR framework using the TPS for image registration that optimizes upon the mutual information (MI) similarity metric to find a global solution. Result- The model was tested on single- and multimodal brain MRI scans and other prominent optimization-based image registration techniques. Conclusion- Results show that, among all methods, TPSysIR provides better MI values with minimum deviation in a range of experiment setups conducted iteratively.https://www.frontiersin.org/articles/10.3389/fphar.2022.949872/fullP systemsMRITPSoptimizationmedical image registration |
| spellingShingle | Saleem Sanatan Kujur Sudip Kumar Sahana Medical image registration utilizing tissue P systems Frontiers in Pharmacology P systems MRI TPS optimization medical image registration |
| title | Medical image registration utilizing tissue P systems |
| title_full | Medical image registration utilizing tissue P systems |
| title_fullStr | Medical image registration utilizing tissue P systems |
| title_full_unstemmed | Medical image registration utilizing tissue P systems |
| title_short | Medical image registration utilizing tissue P systems |
| title_sort | medical image registration utilizing tissue p systems |
| topic | P systems MRI TPS optimization medical image registration |
| url | https://www.frontiersin.org/articles/10.3389/fphar.2022.949872/full |
| work_keys_str_mv | AT saleemsanatankujur medicalimageregistrationutilizingtissuepsystems AT sudipkumarsahana medicalimageregistrationutilizingtissuepsystems |