CONFERENCE PROCEEDINGS
Advanced Search >
Home > Proceedings > Volume 10869 > Article
Translator Disclaimer
26 February 2019 Low-cost smartphone based imaging device to detect subsurface tissue oxygenation of wounds
Kacie Kaile; Kevin Leiva; Jagadeesh Mahadevan; Ramnarayan V.; Alonso Miguel; Mohan Vishwanathan; Anuradha Godavarty
Author Affiliations +
Proceedings Volume 10869, Optics and Biophotonics in Low-Resource Settings V; 1086912 (2019) https://doi.org/10.1117/12.2510425
Event: SPIE BiOS, 2019, San Francisco, California, United States
Abstract
Smartphone based wound image analysis approach has been recently developed to capture high resolution digital images of the wound and determine the wound size via image segmentation algorithms. Smartphone based technology has also been developed to obtain spectroscopic information at discrete point locations for brain imaging applications. Herein, we developed a low-cost smartphone based near-infrared (NIR) imaging device (between 650-1000 nm) that can measure tissue oxygenation in order to analyze wound healing status. Oxygen supply to ulcers is a key limiting factor for successful healing, and hence changes in tissue oxygenation are a precursor to visual changes in the wound. The use of multi-wavelength near-infrared light allows subcutaneous mapping of oxy- and deoxy-hemoglobin changes (or in turn tissue oxygenation changes). Validation studies were performed in controls to demonstrate changes in oxygenation (from diffuse reflectance changes) in response to venous occlusion. Currently, studies on diabetic foot ulcers is carried out using the cell phone-based imaging tool to obtain sub-surface tissue oxygenation maps of the wound and its surrounding. Smartphone based assessment of wounds will assist clinicians and nurses in any clinical in-house setting including low resource settings. In future, patients with chronic wounds can also actively participate (and comply) in their treatment process.
Conference Presentation
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Kacie Kaile, Kevin Leiva, Jagadeesh Mahadevan, Ramnarayan V., Alonso Miguel, Mohan Vishwanathan, and Anuradha Godavarty "Low-cost smartphone based imaging device to detect subsurface tissue oxygenation of wounds", Proc. SPIE 10869, Optics and Biophotonics in Low-Resource Settings V, 1086912 (26 February 2019); doi: 10.1117/12.2510425; https://doi.org/10.1117/12.2510425
ACCESS THE FULL ARTICLE
PERSONAL SIGN IN
Full access may be available with your subscription
 
Forgot your username?
Forgot your password?
No SPIE account? Create an account
or Institutional Sign In via Shibboleth
PURCHASE THIS CONTENT
SUBSCRIBE TO DIGITAL LIBRARY
50 downloads per 1-year subscription
Members: $195
Non-members: $335 ADD TO CART
25 downloads per 1 - year subscription
Members: $145
Non-members: $250 ADD TO CART
PURCHASE SINGLE ARTICLE
Includes PDF, HTML & Video, when available
Members: $14.40
Non-members: $18.00 ADD TO CART
PROCEEDINGS
 4 PAGES + PRESENTATION
DOWNLOAD PDF SAVE TO MY LIBRARY
WATCH
PRESENTATION
SHARE
GET CITATION
< Previous Article
|
Next Article >
Advertisement
Advertisement
KEYWORDS
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top