Low-cost smartphone based imaging device to detect subsurface tissue oxygenation of wounds

Kacie Kaile; Kevin Leiva; Jagadeesh Mahadevan; Ramnarayan V.; Alonso Miguel Jr.; Mohan Vishwanathan; Anuradha Godavarty

doi:10.1117/12.2510425

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 Jr., Mohan Vishwanathan, Anuradha Godavarty

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

Citation Download Citation

Kacie Kaile, Kevin Leiva, Jagadeesh Mahadevan, Ramnarayan V., Alonso Miguel Jr., 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); https://doi.org/10.1117/12.2510425

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