School of Public Health and Interdisciplinary Studies

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https://hdl.handle.net/10292/10764
The School of Public Health and Interdisciplinary Studies research institutes and centres play an important role in specialist teaching and research conducted by academic staff and postgraduate students. This places AUT students at the forefront of much of the ground-breaking research undertaken in New Zealand in the field of Biostatistics and Epidemiology, Psychology, Psychotherapy and Counselling, and Public Health.

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Browsing School of Public Health and Interdisciplinary Studies by Subject "1 Underpinning research"

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    Roadmap for an Imaging and Modelling Paediatric Study in Rural NZ
    (Frontiers Media SA, 2023-03-10) Kumar, H; Green, R; Cornfeld, DM; Condron, P; Emsden, T; Elsayed, A; Zhao, D; Gilbert, K; Nash, MP; Clark, AR; Tawhai, MH; Burrowes, K; Murphy, R; Tayebi, M; McGeown, J; Kwon, E; Shim, V; Wang, A; Choisne, J; Carman, L; Besier, T; Handsfield, G; Babarenda Gamage, TP; Shen, J; Maso Talou, G; Safaei, S; Maller, JJ; Taylor, D; Potter, L; Holdsworth, SJ; Wilson, GA
    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.
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