Abstract
Rheumatoid arthritis (RA) is a chronic inflammatory disease characterized by synovial inflammation. The current treatment paradigm for earlier, more aggressive therapy places importance on development of functional imaging modalities, capable of quantifying joint changes at the earliest stages. Diffuse optical tomography (DOT) has shown great promise in this regard, due to its cheap, non-invasive, non-ionizing and high contrast nature. Underlying pathological activity in afflicted joints leads to altered optical properties of the synovial region, with absorption and scattering increasing. Previous studies have used these optical changes as features for classifying diseased joints from healthy. Non-tomographic, single wavelength, continuous wave (CW) measurements of trans-illuminated joints have previously reported achieving this with specificity and sensitivity in the range 80 - 90% [1]. A single wavelength, frequency domain DOT system, combined with machine learning techniques, has been shown to achieve sensitivity and specificity in the range of 93.8 - 100% [2]. A CW system is presented here which collects data at 5 wavelengths, enabling reconstruction of pathophysiological parameters such as oxygenation and total hemoglobin, with the aim of identifying localized hypoxia and angiogenesis associated with inflammation in RA joints. These initial studies focus on establishing levels of variation in recovered parameters from images of healthy controls.
Original language | English |
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Title of host publication | Diffuse Optical Spectroscopy and Imaging VI |
Editors | Hamid Dehghani, Heidrun Wabnitz |
Publisher | SPIE |
ISBN (Electronic) | 9781510612822 |
DOIs | |
Publication status | Published - 2017 |
Event | Diffuse Optical Spectroscopy and Imaging VI 2017 - Munich, Germany Duration: 25 Jun 2017 → 27 Jun 2017 |
Publication series
Name | Progress in Biomedical Optics and Imaging - Proceedings of SPIE |
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Volume | 10412 |
ISSN (Print) | 1605-7422 |
Conference
Conference | Diffuse Optical Spectroscopy and Imaging VI 2017 |
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Country/Territory | Germany |
City | Munich |
Period | 25/06/17 → 27/06/17 |
Bibliographical note
Funding Information:Future work to be presented includes a larger number of healthy subjects to allow accurate statistical analysis. Additionally we will incorporate galvanometer scanning illumination to reduce total imaging time, refine the reconstruction algorithm and initial guess to reduce cross talk and improve quantitative accuracy of recovered pathophysiological parameters, and collect data from RA patients. DML gratefully acknowledges financial support from the EPSRC through a studentship from the Sci -Phy - 4 - Health Centre for Doctoral Training (EP/L016346/1) and technical support from Hector Basevi.
Publisher Copyright:
© 2017 OSA-SPIE.
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Biomaterials
- Atomic and Molecular Physics, and Optics
- Radiology Nuclear Medicine and imaging