Workflow to develop 3D designed personalized neonatal CPAP masks using iPhone structured light facial scanning

Abstract Background Continuous positive airway pressure (CPAP) is a common mode of respiratory support used in neonatal intensive care units. In preterm infants, nasal CPAP (nCPAP) therapy is often delivered via soft, biocompatible nasal mask suitable for long-term direct skin contact and held firml...

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Main Authors: Amika A. Kamath, Marielle J. Kamath, Selin Ekici, Anna Sofia Stans, Christopher E. Colby, Jane M. Matsumoto, Mark E. Wylam
Format: Article
Language:English
Published: BMC 2022-08-01
Series:3D Printing in Medicine
Subjects:
Online Access:https://doi.org/10.1186/s41205-022-00155-7
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author Amika A. Kamath
Marielle J. Kamath
Selin Ekici
Anna Sofia Stans
Christopher E. Colby
Jane M. Matsumoto
Mark E. Wylam
author_facet Amika A. Kamath
Marielle J. Kamath
Selin Ekici
Anna Sofia Stans
Christopher E. Colby
Jane M. Matsumoto
Mark E. Wylam
author_sort Amika A. Kamath
collection DOAJ
description Abstract Background Continuous positive airway pressure (CPAP) is a common mode of respiratory support used in neonatal intensive care units. In preterm infants, nasal CPAP (nCPAP) therapy is often delivered via soft, biocompatible nasal mask suitable for long-term direct skin contact and held firmly against the face. Limited sizes of nCPAP mask contribute to mal-fitting related complications and adverse outcomes in this fragile population. We hypothesized that custom-fit nCPAP masks will improve the fit with less skin pressure and strap tension improving efficacy and reducing complications associated with nCPAP therapy in neonates. Methods After IRB approval and informed consent, we evaluated several methods to develop 3D facial models to test custom 3D nCPAP masks. These methods included camera-based photogrammetry, laser scanning and structured light scanning using a Bellus3D Face Camera Pro and iPhone X running either Bellus3D FaceApp for iPhone, or Heges application. This data was used to provide accurate 3D neonatal facial models. Using CAD software nCPAP inserts were designed to be placed between proprietary nCPAP mask and the model infant’s face. The resulted 3D designed nCPAP mask was form fitted to the model face. Subsequently, nCPAP masks were connected to a ventilator to provide CPAP and calibrated pressure sensors and co-linear tension sensors were placed to measures skin pressure and nCPAP mask strap tension. Results Photogrammetry and laser scanning were not suited to the neonatal face. However, structured light scanning techniques produced accurate 3D neonatal facial models. Individualized nCPAP mask inserts manufactured using 3D printed molds and silicon injection were effective at decreasing surface pressure and mask strap pressure in some cases by more than 50% compared to CPAP masks without inserts. Conclusions We found that readily available structured light scanning devices such as the iPhone X are a low cost, safe, rapid, and accurate tool to develop accurate models of preterm infant facial topography. Structured light scanning developed 3D nCPAP inserts applied to commercially available CPAP masks significantly reduced skin pressure and strap tension at clinically relevant CPAP pressures when utilized on model neonatal faces. This workflow maybe useful at producing individualized nCPAP masks for neonates reducing complications due to misfit.
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spelling doaj.art-a7139f1c726a44f48f5ac45775fe82b72022-12-22T04:01:48ZengBMC3D Printing in Medicine2365-62712022-08-018111210.1186/s41205-022-00155-7Workflow to develop 3D designed personalized neonatal CPAP masks using iPhone structured light facial scanningAmika A. Kamath0Marielle J. Kamath1Selin Ekici2Anna Sofia Stans3Christopher E. Colby4Jane M. Matsumoto5Mark E. Wylam6Departments of Radiology, Mayo Clinic Axil School of MedicineDepartments of Radiology, Mayo Clinic Axil School of MedicineDepartments of Radiology, Mayo Clinic Axil School of MedicineDepartments of Radiology, Mayo Clinic Axil School of MedicineDepartment of Pediatrics, Division of Neonatology, Mayo Clinic Axil School of MedicineDepartments of Radiology, Mayo Clinic Axil School of MedicineDivisions of Pediatric Pulmonary Medicine and Department of Pediatrics, Division of Pulmonary and Critical Care Medicine Department of Medicine, Mayo Clinic Axil School of MedicineAbstract Background Continuous positive airway pressure (CPAP) is a common mode of respiratory support used in neonatal intensive care units. In preterm infants, nasal CPAP (nCPAP) therapy is often delivered via soft, biocompatible nasal mask suitable for long-term direct skin contact and held firmly against the face. Limited sizes of nCPAP mask contribute to mal-fitting related complications and adverse outcomes in this fragile population. We hypothesized that custom-fit nCPAP masks will improve the fit with less skin pressure and strap tension improving efficacy and reducing complications associated with nCPAP therapy in neonates. Methods After IRB approval and informed consent, we evaluated several methods to develop 3D facial models to test custom 3D nCPAP masks. These methods included camera-based photogrammetry, laser scanning and structured light scanning using a Bellus3D Face Camera Pro and iPhone X running either Bellus3D FaceApp for iPhone, or Heges application. This data was used to provide accurate 3D neonatal facial models. Using CAD software nCPAP inserts were designed to be placed between proprietary nCPAP mask and the model infant’s face. The resulted 3D designed nCPAP mask was form fitted to the model face. Subsequently, nCPAP masks were connected to a ventilator to provide CPAP and calibrated pressure sensors and co-linear tension sensors were placed to measures skin pressure and nCPAP mask strap tension. Results Photogrammetry and laser scanning were not suited to the neonatal face. However, structured light scanning techniques produced accurate 3D neonatal facial models. Individualized nCPAP mask inserts manufactured using 3D printed molds and silicon injection were effective at decreasing surface pressure and mask strap pressure in some cases by more than 50% compared to CPAP masks without inserts. Conclusions We found that readily available structured light scanning devices such as the iPhone X are a low cost, safe, rapid, and accurate tool to develop accurate models of preterm infant facial topography. Structured light scanning developed 3D nCPAP inserts applied to commercially available CPAP masks significantly reduced skin pressure and strap tension at clinically relevant CPAP pressures when utilized on model neonatal faces. This workflow maybe useful at producing individualized nCPAP masks for neonates reducing complications due to misfit.https://doi.org/10.1186/s41205-022-00155-7Structured light scanningNeonatal CPAP masksiPhoneThree-dimensional
spellingShingle Amika A. Kamath
Marielle J. Kamath
Selin Ekici
Anna Sofia Stans
Christopher E. Colby
Jane M. Matsumoto
Mark E. Wylam
Workflow to develop 3D designed personalized neonatal CPAP masks using iPhone structured light facial scanning
3D Printing in Medicine
Structured light scanning
Neonatal CPAP masks
iPhone
Three-dimensional
title Workflow to develop 3D designed personalized neonatal CPAP masks using iPhone structured light facial scanning
title_full Workflow to develop 3D designed personalized neonatal CPAP masks using iPhone structured light facial scanning
title_fullStr Workflow to develop 3D designed personalized neonatal CPAP masks using iPhone structured light facial scanning
title_full_unstemmed Workflow to develop 3D designed personalized neonatal CPAP masks using iPhone structured light facial scanning
title_short Workflow to develop 3D designed personalized neonatal CPAP masks using iPhone structured light facial scanning
title_sort workflow to develop 3d designed personalized neonatal cpap masks using iphone structured light facial scanning
topic Structured light scanning
Neonatal CPAP masks
iPhone
Three-dimensional
url https://doi.org/10.1186/s41205-022-00155-7
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