Roadmap for an imaging and modelling paediatric study in rural NZ.

Autor:	Kumar H; Mātai Medical Research Institute, Gisborne, New Zealand.; Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand.; GE Healthcare (Australia & New Zealand), Auckland, New Zealand., Green R; Mātai Medical Research Institute, Gisborne, New Zealand., Cornfeld DM; Mātai Medical Research Institute, Gisborne, New Zealand.; Faculty of Medical and Health Sciences, Centre for Brain Research, University of Auckland, Auckland, New Zealand., Condron P; Mātai Medical Research Institute, Gisborne, New Zealand.; Faculty of Medical and Health Sciences, Centre for Brain Research, University of Auckland, Auckland, New Zealand., Emsden T; Mātai Medical Research Institute, Gisborne, New Zealand.; Faculty of Medical and Health Sciences, Centre for Brain Research, University of Auckland, Auckland, New Zealand., Elsayed A; Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand.; Auckland University of Technology, Auckland, New Zealand., Zhao D; Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand., Gilbert K; Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand., Nash MP; Mātai Medical Research Institute, Gisborne, New Zealand.; Department of Engineering Science, University of Auckland, Auckland, New Zealand., Clark AR; Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand., Tawhai MH; Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand., Burrowes K; Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand., Murphy R; Faculty of Medical and Health Sciences, Centre for Brain Research, University of Auckland, Auckland, New Zealand., Tayebi M; Mātai Medical Research Institute, Gisborne, New Zealand.; Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand., McGeown J; Mātai Medical Research Institute, Gisborne, New Zealand., Kwon E; Mātai Medical Research Institute, Gisborne, New Zealand.; Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand.; Faculty of Medical and Health Sciences, Centre for Brain Research, University of Auckland, Auckland, New Zealand., Shim V; Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand., Wang A; Mātai Medical Research Institute, Gisborne, New Zealand.; Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand.; Faculty of Medical and Health Sciences, Centre for Brain Research, University of Auckland, Auckland, New Zealand., Choisne J; Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand., Carman L; Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand., Besier T; Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand., Handsfield G; Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand., Babarenda Gamage TP; Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand., Shen J; Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand., Maso Talou G; Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand., Safaei S; Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand., Maller JJ; GE Healthcare (Australia & New Zealand), Auckland, New Zealand.; Monash Alfred Psychiatry Research Centre, Melbourne, VIC, Australia., Taylor D; Mātai Medical Research Institute, Gisborne, New Zealand., Potter L; Mātai Medical Research Institute, Gisborne, New Zealand., Holdsworth SJ; Mātai Medical Research Institute, Gisborne, New Zealand.; Faculty of Medical and Health Sciences, Centre for Brain Research, University of Auckland, Auckland, New Zealand., Wilson GA; Mātai Medical Research Institute, Gisborne, New Zealand.
Jazyk:	angličtina
Zdroj:	Frontiers in physiology [Front Physiol] 2023 Mar 10; Vol. 14, pp. 1104838. Date of Electronic Publication: 2023 Mar 10 (Print Publication: 2023).
DOI:	10.3389/fphys.2023.1104838
Abstrakt:	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. Competing Interests: Authors HK and JM were employed by the company GE Healthcare (Australia & New Zealand). The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (Copyright © 2023 Kumar, Green, Cornfeld, Condron, Emsden, Elsayed, Zhao, Gilbert, Nash, Clark, Tawhai, Burrowes, Murphy, Tayebi, McGeown, Kwon, Shim, Wang, Choisne, Carman, Besier, Handsfield, Babarenda Gamage, Shen, Maso Talou, Safaei, Maller, Taylor, Potter, Holdsworth and Wilson.)
Databáze:	MEDLINE
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