Frugal 3D scanning using smartphones provides an accessible framework for capturing the external ear. Issue 11 (November 2021)

• Record Type: Journal Article
• Authors: Nightingale, Renee C.; Ross, Maureen T.; Cruz, Rena L.J.; Allenby, Mark C.; Powell, Sean K.; Woodruff, Maria A.
• Is Part Of: Journal of plastic, reconstructive & aesthetic surgery. Volume 74:Issue 11(2021)
• Page Start: 3066
• Page End: 3072
• Publication Date: 2021-11
• Subjects: 3D scanning -- Photogrammetry -- Microtia -- Craniofacial prosthetics -- Smartphones; Surgery, Plastic -- Great Britain -- Periodicals; Reconstructive Surgical Procedures -- Periodicals; Surgery, Plastic -- Great Britain -- Periodicals; 617.9505
• DOI: 10.1016/j.bjps.2021.03.131
• Languages: English
• ISSNs: 1748-6815

Abstract

Summary: Three-dimensional (3D) scanning technologies, such as medical imaging and surface scanning, have important applications for capturing patient anatomy to create personalised prosthetics. Digital approaches for capturing anatomical detail as opposed to traditional, invasive impression techniques significantly reduces turnaround times and lower production costs while still maintaining the high aesthetic quality of the end product. While previous case studies utilise expensive 3D scanning and modelling frameworks, their clinical translation is limited due to high equipment costs. In this study, we develop and validate a low-cost framework for clinical 3D scanning of the external ear using photogrammetry and a smartphone camera. We recruited five novice operators who watched an instructional video before scanning 20 healthy adult participant ears who did not have microtia. Our results show that the smartphone-based photogrammetry methodology produces 3D scans of the external ear that were accurate to (1.5 ± 0.4) mm and were (71 ± 14) % complete compared with those from a gold standard reference scanner, with no significant difference observed between operators. A moderate to strong interrater reliability was determined for all novice operators, suggesting that all novice operators were able to capture repeatable scans. The development of this smartphone photogrammetry approach has the potential to provide a non-invasive, inexpensive and accessible means to capture patient morphology for use in clinical assessment and personalised device manufacture, specifically for ear prostheses. We also demonstrate that inexperienced operators can rapidly learn and apply smartphone photogrammetry for accurate and reliable scans of the external ear with important applications for future clinical translation.