Smartphone-driven extraction of three-dimensional structure for accessible and standardized assessment of chronic wounds

Smartphone-driven extraction of three-dimensional structure for accessible and standardized assessment of chronic wounds | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Smartphone-driven extraction of three-dimensional structure for accessible and standardized assessment of chronic wounds Brian Chap, Aadit Aggarwal, Rania Hussein This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8811547/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract In spite of the need for accurate measurements and documentation, which can inform optimal treatment strategies, existing methods for wound assessment have been repeatedly noted to be inconsistent and imprecise, resulting in negative patient outcomes. Backed by insights gathered from interviews with medical professionals, we focused on developing a solution which exploits the benefits of mobile technology, including its built-in features, scalability, and accessibility, to enable the non-invasive scanning of wounds. We constructed an intuitive, mobile application which employs vertical-cavity surface-emitting lasers (VCSELs) in a structured light system to generate dense point clouds. Our application, with reference to commercial scanners, demonstrates sub-millimeter accuracy in regions-of-interest, and achieves the highest agreement scores and color consistencies among tested applications, despite uniquely rendering structures in real-time. The solution we designed is anticipated to tangibly benefit affected individuals, as well as encourage increased collaboration and clinical research based on the availability of cross-verifiable data. Physical sciences/Engineering Physical sciences/Optics and photonics Full Text Additional Declarations Statement of Ethics Approval: The application developed for this study has been approved for clinical use in a limited deployment setting by the Institutional Review Board of the University of Washington (ID No. STUDY00021357). All procedures are performed to relevant institutional guidelines.Statement on Participant Consent: Verbal informed consent is obtained from all participants prior to participation in IRB ID No. STUDY00021357. Documentation of consent is waived No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. 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