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A combined imaging, deformation and registration methodology for predicting respirator fitting.
Caggiari, Silvia; Keenan, Bethany; Bader, Dan L; Mavrogordato, Mark N; Rankin, Kathryn; Evans, Sam L; Worsley, Peter R.
  • Caggiari S; Clinical Academic Facility, School of Health Sciences, University of Southampton, Southampton, United Kingdom.
  • Keenan B; School of Engineering, Cardiff University, Cardiff, United Kingdom.
  • Bader DL; Clinical Academic Facility, School of Health Sciences, University of Southampton, Southampton, United Kingdom.
  • Mavrogordato MN; µ-VIS X-ray Imaging Centre, Faculty of Engineering & Physical Sciences, University of Southampton, Southampton, United Kingdom.
  • Rankin K; Mechanical Engineering Department, Faculty of Engineering & Physical Sciences, University of Southampton, Southampton, United Kingdom.
  • Evans SL; µ-VIS X-ray Imaging Centre, Faculty of Engineering & Physical Sciences, University of Southampton, Southampton, United Kingdom.
  • Worsley PR; Mechanical Engineering Department, Faculty of Engineering & Physical Sciences, University of Southampton, Southampton, United Kingdom.
PLoS One ; 17(11): e0277570, 2022.
Article in English | MEDLINE | ID: covidwho-2116520
ABSTRACT
N95/FFP3 respirators have been critical to protect healthcare workers and their patients from the transmission of COVID-19. However, these respirators are characterised by a limited range of size and geometry, which are often associated with fitting issues in particular sub-groups of gender and ethnicities. This study describes a novel methodology which combines magnetic resonance imaging (MRI) of a cohort of individuals (n = 8), with and without a respirator in-situ, and 3D registration algorithm which predicted the goodness of fit of the respirator. Sensitivity analysis was used to optimise a deformation value for the respirator-face interactions and corroborate with the soft tissue displacements estimated from the MRI images. An association between predicted respirator fitting and facial anthropometrics was then assessed for the cohort.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Respiratory Protective Devices / COVID-19 Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Humans Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2022 Document Type: Article Affiliation country: Journal.pone.0277570

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Respiratory Protective Devices / COVID-19 Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Humans Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2022 Document Type: Article Affiliation country: Journal.pone.0277570