Medical Image Despeckling Using the Invertible Sparse Fuzzy Wavelet Transform with Nature-Inspired Minibatch Water Wave Swarm Optimization
<p dir="ltr">Speckle noise is a pervasive problem in medical imaging, and conventional methods for despeckling often lead to loss of edge information due to smoothing. To address this issue, we propose a novel approach that combines a nature-inspired minibatch water wave swarm optimi...
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2023
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| _version_ | 1864513507115925504 |
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| author | Ahila Amarnath (19482388) |
| author2 | Poongodi Manoharan (17727687) Buvaneswari Natarajan (19482391) Roobaea Alroobaea (8698965) Majed Alsafyani (17727696) Abdullah M. Baqasah (17542077) Ismail Keshta (17727699) Kaamran Raahemifar (707645) |
| author2_role | author author author author author author author |
| author_facet | Ahila Amarnath (19482388) Poongodi Manoharan (17727687) Buvaneswari Natarajan (19482391) Roobaea Alroobaea (8698965) Majed Alsafyani (17727696) Abdullah M. Baqasah (17542077) Ismail Keshta (17727699) Kaamran Raahemifar (707645) |
| author_role | author |
| dc.creator.none.fl_str_mv | Ahila Amarnath (19482388) Poongodi Manoharan (17727687) Buvaneswari Natarajan (19482391) Roobaea Alroobaea (8698965) Majed Alsafyani (17727696) Abdullah M. Baqasah (17542077) Ismail Keshta (17727699) Kaamran Raahemifar (707645) |
| dc.date.none.fl_str_mv | 2023-09-12T09:00:00Z |
| dc.identifier.none.fl_str_mv | 10.3390/diagnostics13182919 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Medical_Image_Despeckling_Using_the_Invertible_Sparse_Fuzzy_Wavelet_Transform_with_Nature-Inspired_Minibatch_Water_Wave_Swarm_Optimization/26830180 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Engineering Biomedical engineering Information and computing sciences Computer vision and multimedia computation speckle noise threshold nature-inspired minibatch water wave swarm optimization inveritible sparse fuzzy wavelet transform |
| dc.title.none.fl_str_mv | Medical Image Despeckling Using the Invertible Sparse Fuzzy Wavelet Transform with Nature-Inspired Minibatch Water Wave Swarm Optimization |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">Speckle noise is a pervasive problem in medical imaging, and conventional methods for despeckling often lead to loss of edge information due to smoothing. To address this issue, we propose a novel approach that combines a nature-inspired minibatch water wave swarm optimization (NIMWVSO) framework with an invertible sparse fuzzy wavelet transform (ISFWT) in the frequency domain. The ISFWT learns a non-linear redundant transform with a perfect reconstruction property that effectively removes noise while preserving structural and edge information in medical images. The resulting threshold is then used by the NIMWVSO to further reduce multiplicative speckle noise. Our approach was evaluated using the MSTAR dataset, and objective functions were based on two contrasting reference metrics, namely the peak signal-to-noise ratio (PSNR) and the mean structural similarity index metric (MSSIM). Our results show that the suggested approach outperforms modern filters and has significant generalization ability to unknown noise levels, while also being highly interpretable. By providing a new framework for despeckling medical images, our work has the potential to improve the accuracy and reliability of medical imaging diagnosis and treatment planning.</p><h2>Other Information</h2><p dir="ltr">Published in: Diagnostics<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/diagnostics13182919" target="_blank">https://dx.doi.org/10.3390/diagnostics13182919</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_d31734f15727e63612125ca43c2eb10a |
| identifier_str_mv | 10.3390/diagnostics13182919 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/26830180 |
| publishDate | 2023 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Medical Image Despeckling Using the Invertible Sparse Fuzzy Wavelet Transform with Nature-Inspired Minibatch Water Wave Swarm OptimizationAhila Amarnath (19482388)Poongodi Manoharan (17727687)Buvaneswari Natarajan (19482391)Roobaea Alroobaea (8698965)Majed Alsafyani (17727696)Abdullah M. Baqasah (17542077)Ismail Keshta (17727699)Kaamran Raahemifar (707645)EngineeringBiomedical engineeringInformation and computing sciencesComputer vision and multimedia computationspeckle noisethresholdnature-inspired minibatch water wave swarm optimizationinveritible sparse fuzzy wavelet transform<p dir="ltr">Speckle noise is a pervasive problem in medical imaging, and conventional methods for despeckling often lead to loss of edge information due to smoothing. To address this issue, we propose a novel approach that combines a nature-inspired minibatch water wave swarm optimization (NIMWVSO) framework with an invertible sparse fuzzy wavelet transform (ISFWT) in the frequency domain. The ISFWT learns a non-linear redundant transform with a perfect reconstruction property that effectively removes noise while preserving structural and edge information in medical images. The resulting threshold is then used by the NIMWVSO to further reduce multiplicative speckle noise. Our approach was evaluated using the MSTAR dataset, and objective functions were based on two contrasting reference metrics, namely the peak signal-to-noise ratio (PSNR) and the mean structural similarity index metric (MSSIM). Our results show that the suggested approach outperforms modern filters and has significant generalization ability to unknown noise levels, while also being highly interpretable. By providing a new framework for despeckling medical images, our work has the potential to improve the accuracy and reliability of medical imaging diagnosis and treatment planning.</p><h2>Other Information</h2><p dir="ltr">Published in: Diagnostics<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/diagnostics13182919" target="_blank">https://dx.doi.org/10.3390/diagnostics13182919</a></p>2023-09-12T09:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.3390/diagnostics13182919https://figshare.com/articles/journal_contribution/Medical_Image_Despeckling_Using_the_Invertible_Sparse_Fuzzy_Wavelet_Transform_with_Nature-Inspired_Minibatch_Water_Wave_Swarm_Optimization/26830180CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/268301802023-09-12T09:00:00Z |
| spellingShingle | Medical Image Despeckling Using the Invertible Sparse Fuzzy Wavelet Transform with Nature-Inspired Minibatch Water Wave Swarm Optimization Ahila Amarnath (19482388) Engineering Biomedical engineering Information and computing sciences Computer vision and multimedia computation speckle noise threshold nature-inspired minibatch water wave swarm optimization inveritible sparse fuzzy wavelet transform |
| status_str | publishedVersion |
| title | Medical Image Despeckling Using the Invertible Sparse Fuzzy Wavelet Transform with Nature-Inspired Minibatch Water Wave Swarm Optimization |
| title_full | Medical Image Despeckling Using the Invertible Sparse Fuzzy Wavelet Transform with Nature-Inspired Minibatch Water Wave Swarm Optimization |
| title_fullStr | Medical Image Despeckling Using the Invertible Sparse Fuzzy Wavelet Transform with Nature-Inspired Minibatch Water Wave Swarm Optimization |
| title_full_unstemmed | Medical Image Despeckling Using the Invertible Sparse Fuzzy Wavelet Transform with Nature-Inspired Minibatch Water Wave Swarm Optimization |
| title_short | Medical Image Despeckling Using the Invertible Sparse Fuzzy Wavelet Transform with Nature-Inspired Minibatch Water Wave Swarm Optimization |
| title_sort | Medical Image Despeckling Using the Invertible Sparse Fuzzy Wavelet Transform with Nature-Inspired Minibatch Water Wave Swarm Optimization |
| topic | Engineering Biomedical engineering Information and computing sciences Computer vision and multimedia computation speckle noise threshold nature-inspired minibatch water wave swarm optimization inveritible sparse fuzzy wavelet transform |