Open Access
20 June 2019 Detecting inflammation in rheumatoid arthritis using Fourier transform analysis of dorsal optical transmission images from a pilot study
Daniel Lighter, Andrew Filer, Hamid Dehghani
Author Affiliations +
Abstract
A clinical need exists for low-cost and noninvasive imaging tools capable of detecting inflammation in the joints of inflammatory arthritis patients. Previous studies have reported an optical contrast between inflamed and noninflamed joints resulting from distinct absorption and scattering properties. Accurate classification using nonocclusion-based continuous wave, transillumination imaging was limited to patient-specific changes during follow-up examination as opposed to single time-point examination, which was attributed to high intersubject variability. In distinction from previous work, optical images were acquired from the dorsal side with illumination on the palmar side and features about the spatial distribution of transmitted light along the joint were assessed using a normalized Fourier transform method. Results using this approach demonstrated an area under receiver operator curve of up to 0.888 for detecting inflammation in a pilot study involving single time-point examination of 144 joints from 21 rheumatology patients. This workflow may enable future development of clinically viable, low-cost devices for assessing inflammation in arthritis patients, without the need for cuff occlusion or comparison to baseline.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Daniel Lighter, Andrew Filer, and Hamid Dehghani "Detecting inflammation in rheumatoid arthritis using Fourier transform analysis of dorsal optical transmission images from a pilot study," Journal of Biomedical Optics 24(6), 066008 (20 June 2019). https://doi.org/10.1117/1.JBO.24.6.066008
Received: 28 February 2019; Accepted: 30 May 2019; Published: 20 June 2019
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CITATIONS
Cited by 10 scholarly publications.
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KEYWORDS
Inflammation

Arthritis

Fourier transforms

Imaging systems

Transmittance

Cameras

Diagnostics

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