Investigative Ophthalmology & Visual Science Cover Image for Volume 61, Issue 7
June 2020
Volume 61, Issue 7
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ARVO Annual Meeting Abstract  |   June 2020
Novel Use of iPhone Based 3D Face Scanning to Develop Custom 3D Printed Spectacles For Children With Craniofacial Malformations
Author Affiliations & Notes
  • Frank Brodie
    Duke Eye Center, Durham, North Carolina, United States
  • Max Feinstein
    University of California San Francisco, San Francisco, California, United States
  • khashayar nattagh
    University of California San Francisco, San Francisco, California, United States
  • Garrett Spiegel
    Standard Cyborg, California, United States
  • Jeff Huber
    Standard Cyborg, California, United States
  • Marycon Jiro
    University of California San Francisco, San Francisco, California, United States
  • Alejandra de Alba Campomanes
    University of California San Francisco, San Francisco, California, United States
  • Footnotes
    Commercial Relationships   Frank Brodie, None; Max Feinstein, None; khashayar nattagh, None; Garrett Spiegel, Standard Cyborg (E); Jeff Huber, Standard Cyborg (E); Marycon Jiro, None; Alejandra de Alba Campomanes, None
  • Footnotes
    Support  Loving Eyes Foundation (501c3)
Investigative Ophthalmology & Visual Science June 2020, Vol.61, 2149. doi:
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      Frank Brodie, Max Feinstein, khashayar nattagh, Garrett Spiegel, Jeff Huber, Marycon Jiro, Alejandra de Alba Campomanes; Novel Use of iPhone Based 3D Face Scanning to Develop Custom 3D Printed Spectacles For Children With Craniofacial Malformations. Invest. Ophthalmol. Vis. Sci. 2020;61(7):2149.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose : Craniofacial malformations are part of a broad range of congenital abnormalities and syndromes. Frequently these include ocular pathology and refractive error. Treating the refractive error, and in young patients preventing amblyopia, is challenging as due to their irregular facial anatomy, standard spectacles are ill fitting. Previously we have reported developing a novel method for overcoming this challenge by reconstructing computed tomography (CT) scans to develop an anatomic model upon which customized spectacles can be designed and then 3D printed. This method was limited by the availability of prior CT scans and how accurately they reflected the child’s current anatomy. To overcome this, we developed a custom iPhone (Apple, Cupertino, CA) application which utilizes the RGB-D infrared camera to create a 3D model of the patient’s head. This file can then be sent for glasses design and printing.

Methods : The iOS application uses the Standard Cyborg SDK (Standard Cyborg Inc, San Francisco, CA) which enables extremely accurate on-device real-time 3D scanning using the iPhone Truedepth Sensor. The Truedepth sensor is an infrared projector and camera that projects 30,000 dots at 30 frames a second. The raw depth data from the sensor passes through Standard Cyborg's Simultaneous Location and Mapping (SLAM) pipeline to build up a 3D model. This enables the user to capture a 3D scan of the patient directly from their phone that can be used for creating custom eyewear.

Results : We have successfully produced glasses for children with a range of craniofacial malformations including microtia, Apert syndrome and Crouzon syndrome. Using the app we have eliminated the need for “upsizing” or increasing all the measurements from a CT derived model based on growth since the CT. We reduced the number of design revisions from on average 4 to 2 and decreased turnaround time from 6 to 2 months.

Conclusions : iPhone based 3D scanning greatly improves our ability to provide custom 3D glasses through improved ease of use, access, and by providing up to date anatomic models. We plan to use this new technology to develop automated measurements in conjunction with parametric modeling to begin automation of the design in the future. We hope these advances will enable increased availability of this technology for all patients who need customized spectacle frames due to non-standard anatomy.

This is a 2020 ARVO Annual Meeting abstract.

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