Roadmap for an imaging and modelling paediatric study in rural NZ
Our study methodology is motivated from three disparate needs: one, imaging studies have existed in silo and study organs but not across organ systems; two, there are gaps in our understanding of paediatric structure and function; three, lack of representative data in New Zealand. Our research aims...
| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-03-01
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| Series: | Frontiers in Physiology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fphys.2023.1104838/full |
| _version_ | 1811155397545820160 |
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| author | Haribalan Kumar Haribalan Kumar Haribalan Kumar Robby Green Daniel M. Cornfeld Daniel M. Cornfeld Paul Condron Paul Condron Taylor Emsden Taylor Emsden Ayah Elsayed Ayah Elsayed Debbie Zhao Kat Gilbert Martyn P. Nash Martyn P. Nash Alys R. Clark Merryn H. Tawhai Kelly Burrowes Rinki Murphy Maryam Tayebi Maryam Tayebi Josh McGeown Eryn Kwon Eryn Kwon Eryn Kwon Vickie Shim Alan Wang Alan Wang Alan Wang Julie Choisne Laura Carman Thor Besier Geoffrey Handsfield Thiranja Prasad Babarenda Gamage Jiantao Shen Gonzalo Maso Talou Soroush Safaei Jerome J. Maller Jerome J. Maller Davidson Taylor Leigh Potter Samantha J. Holdsworth Samantha J. Holdsworth Graham A. Wilson |
| author_facet | Haribalan Kumar Haribalan Kumar Haribalan Kumar Robby Green Daniel M. Cornfeld Daniel M. Cornfeld Paul Condron Paul Condron Taylor Emsden Taylor Emsden Ayah Elsayed Ayah Elsayed Debbie Zhao Kat Gilbert Martyn P. Nash Martyn P. Nash Alys R. Clark Merryn H. Tawhai Kelly Burrowes Rinki Murphy Maryam Tayebi Maryam Tayebi Josh McGeown Eryn Kwon Eryn Kwon Eryn Kwon Vickie Shim Alan Wang Alan Wang Alan Wang Julie Choisne Laura Carman Thor Besier Geoffrey Handsfield Thiranja Prasad Babarenda Gamage Jiantao Shen Gonzalo Maso Talou Soroush Safaei Jerome J. Maller Jerome J. Maller Davidson Taylor Leigh Potter Samantha J. Holdsworth Samantha J. Holdsworth Graham A. Wilson |
| author_sort | Haribalan Kumar |
| collection | DOAJ |
| description | Our study methodology is motivated from three disparate needs: one, imaging studies have existed in silo and study organs but not across organ systems; two, there are gaps in our understanding of paediatric structure and function; three, lack of representative data in New Zealand. Our research aims to address these issues in part, through the combination of magnetic resonance imaging, advanced image processing algorithms and computational modelling. Our study demonstrated the need to take an organ-system approach and scan multiple organs on the same child. We have pilot tested an imaging protocol to be minimally disruptive to the children and demonstrated state-of-the-art image processing and personalized computational models using the imaging data. Our imaging protocol spans brain, lungs, heart, muscle, bones, abdominal and vascular systems. Our initial set of results demonstrated child-specific measurements on one dataset. This work is novel and interesting as we have run multiple computational physiology workflows to generate personalized computational models. Our proposed work is the first step towards achieving the integration of imaging and modelling improving our understanding of the human body in paediatric health and disease. |
| first_indexed | 2024-04-10T04:32:29Z |
| format | Article |
| id | doaj.art-0fc92b6f4a7640d8a8cdd81453f039bd |
| institution | Directory Open Access Journal |
| issn | 1664-042X |
| language | English |
| last_indexed | 2024-04-10T04:32:29Z |
| publishDate | 2023-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Physiology |
| spelling | doaj.art-0fc92b6f4a7640d8a8cdd81453f039bd2023-03-10T05:37:13ZengFrontiers Media S.A.Frontiers in Physiology1664-042X2023-03-011410.3389/fphys.2023.11048381104838Roadmap for an imaging and modelling paediatric study in rural NZHaribalan Kumar0Haribalan Kumar1Haribalan Kumar2Robby Green3Daniel M. Cornfeld4Daniel M. Cornfeld5Paul Condron6Paul Condron7Taylor Emsden8Taylor Emsden9Ayah Elsayed10Ayah Elsayed11Debbie Zhao12Kat Gilbert13Martyn P. Nash14Martyn P. Nash15Alys R. Clark16Merryn H. Tawhai17Kelly Burrowes18Rinki Murphy19Maryam Tayebi20Maryam Tayebi21Josh McGeown22Eryn Kwon23Eryn Kwon24Eryn Kwon25Vickie Shim26Alan Wang27Alan Wang28Alan Wang29Julie Choisne30Laura Carman31Thor Besier32Geoffrey Handsfield33Thiranja Prasad Babarenda Gamage34Jiantao Shen35Gonzalo Maso Talou36Soroush Safaei37Jerome J. Maller38Jerome J. Maller39Davidson Taylor40Leigh Potter41Samantha J. Holdsworth42Samantha J. Holdsworth43Graham A. Wilson44Mātai Medical Research Institute, Gisborne, New ZealandAuckland Bioengineering Institute, University of Auckland, Auckland, New ZealandGE Healthcare (Australia & New Zealand), Auckland, New ZealandMātai Medical Research Institute, Gisborne, New ZealandMātai Medical Research Institute, Gisborne, New ZealandFaculty of Medical and Health Sciences, Centre for Brain Research, University of Auckland, Auckland, New ZealandMātai Medical Research Institute, Gisborne, New ZealandFaculty of Medical and Health Sciences, Centre for Brain Research, University of Auckland, Auckland, New ZealandMātai Medical Research Institute, Gisborne, New ZealandFaculty of Medical and Health Sciences, Centre for Brain Research, University of Auckland, Auckland, New ZealandAuckland Bioengineering Institute, University of Auckland, Auckland, New ZealandAuckland University of Technology, Auckland, New ZealandAuckland Bioengineering Institute, University of Auckland, Auckland, New ZealandAuckland Bioengineering Institute, University of Auckland, Auckland, New ZealandMātai Medical Research Institute, Gisborne, New ZealandDepartment of Engineering Science, University of Auckland, Auckland, New ZealandAuckland Bioengineering Institute, University of Auckland, Auckland, New ZealandAuckland Bioengineering Institute, University of Auckland, Auckland, New ZealandAuckland Bioengineering Institute, University of Auckland, Auckland, New ZealandFaculty of Medical and Health Sciences, Centre for Brain Research, University of Auckland, Auckland, New ZealandMātai Medical Research Institute, Gisborne, New ZealandAuckland Bioengineering Institute, University of Auckland, Auckland, New ZealandMātai Medical Research Institute, Gisborne, New ZealandMātai Medical Research Institute, Gisborne, New ZealandAuckland Bioengineering Institute, University of Auckland, Auckland, New ZealandFaculty of Medical and Health Sciences, Centre for Brain Research, University of Auckland, Auckland, New ZealandAuckland Bioengineering Institute, University of Auckland, Auckland, New ZealandMātai Medical Research Institute, Gisborne, New ZealandAuckland Bioengineering Institute, University of Auckland, Auckland, New ZealandFaculty of Medical and Health Sciences, Centre for Brain Research, University of Auckland, Auckland, New ZealandAuckland Bioengineering Institute, University of Auckland, Auckland, New ZealandAuckland Bioengineering Institute, University of Auckland, Auckland, New ZealandAuckland Bioengineering Institute, University of Auckland, Auckland, New ZealandAuckland Bioengineering Institute, University of Auckland, Auckland, New ZealandAuckland Bioengineering Institute, University of Auckland, Auckland, New ZealandAuckland Bioengineering Institute, University of Auckland, Auckland, New ZealandAuckland Bioengineering Institute, University of Auckland, Auckland, New ZealandAuckland Bioengineering Institute, University of Auckland, Auckland, New ZealandGE Healthcare (Australia & New Zealand), Auckland, New ZealandMonash Alfred Psychiatry Research Centre, Melbourne, VIC, AustraliaMātai Medical Research Institute, Gisborne, New ZealandMātai Medical Research Institute, Gisborne, New ZealandMātai Medical Research Institute, Gisborne, New ZealandFaculty of Medical and Health Sciences, Centre for Brain Research, University of Auckland, Auckland, New ZealandMātai Medical Research Institute, Gisborne, New ZealandOur study methodology is motivated from three disparate needs: one, imaging studies have existed in silo and study organs but not across organ systems; two, there are gaps in our understanding of paediatric structure and function; three, lack of representative data in New Zealand. Our research aims to address these issues in part, through the combination of magnetic resonance imaging, advanced image processing algorithms and computational modelling. Our study demonstrated the need to take an organ-system approach and scan multiple organs on the same child. We have pilot tested an imaging protocol to be minimally disruptive to the children and demonstrated state-of-the-art image processing and personalized computational models using the imaging data. Our imaging protocol spans brain, lungs, heart, muscle, bones, abdominal and vascular systems. Our initial set of results demonstrated child-specific measurements on one dataset. This work is novel and interesting as we have run multiple computational physiology workflows to generate personalized computational models. Our proposed work is the first step towards achieving the integration of imaging and modelling improving our understanding of the human body in paediatric health and disease.https://www.frontiersin.org/articles/10.3389/fphys.2023.1104838/fullMRI image analysiscomputational modellingchild health and developmentneuroimage analysisradiology |
| spellingShingle | Haribalan Kumar Haribalan Kumar Haribalan Kumar Robby Green Daniel M. Cornfeld Daniel M. Cornfeld Paul Condron Paul Condron Taylor Emsden Taylor Emsden Ayah Elsayed Ayah Elsayed Debbie Zhao Kat Gilbert Martyn P. Nash Martyn P. Nash Alys R. Clark Merryn H. Tawhai Kelly Burrowes Rinki Murphy Maryam Tayebi Maryam Tayebi Josh McGeown Eryn Kwon Eryn Kwon Eryn Kwon Vickie Shim Alan Wang Alan Wang Alan Wang Julie Choisne Laura Carman Thor Besier Geoffrey Handsfield Thiranja Prasad Babarenda Gamage Jiantao Shen Gonzalo Maso Talou Soroush Safaei Jerome J. Maller Jerome J. Maller Davidson Taylor Leigh Potter Samantha J. Holdsworth Samantha J. Holdsworth Graham A. Wilson Roadmap for an imaging and modelling paediatric study in rural NZ Frontiers in Physiology MRI image analysis computational modelling child health and development neuroimage analysis radiology |
| title | Roadmap for an imaging and modelling paediatric study in rural NZ |
| title_full | Roadmap for an imaging and modelling paediatric study in rural NZ |
| title_fullStr | Roadmap for an imaging and modelling paediatric study in rural NZ |
| title_full_unstemmed | Roadmap for an imaging and modelling paediatric study in rural NZ |
| title_short | Roadmap for an imaging and modelling paediatric study in rural NZ |
| title_sort | roadmap for an imaging and modelling paediatric study in rural nz |
| topic | MRI image analysis computational modelling child health and development neuroimage analysis radiology |
| url | https://www.frontiersin.org/articles/10.3389/fphys.2023.1104838/full |
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