Multispectral imaging in nailfold capillaroscopy for the detection of systemic sclerosis

Michaela Taylor-Williams; Irsa Khalil; Graham Dinsdale; Joanne Manning; Michael Berks; Andrea Murray; Sarah E. Bohndiek

doi:10.1117/12.3002477

13 March 2024 Multispectral imaging in nailfold capillaroscopy for the detection of systemic sclerosis

Michaela Taylor-Williams, Irsa Khalil, Graham Dinsdale, Joanne Manning, Michael Berks, Andrea Murray, Sarah E. Bohndiek

Proceedings Volume PC12827, Multiscale Imaging and Spectroscopy V; PC128270M (2024) https://doi.org/10.1117/12.3002477
Event: SPIE BiOS, 2024, San Francisco, California, United States

Abstract

Here, we explore the potential benefits of extracting hemoglobin oxygenation metrics using multispectral imaging (MSI) in nailfold capillaroscopy for systemic sclerosis (SSc) patients. We used a nine-band multispectral camera to capture images of the nail bed from SSc patients (n=10) and healthy controls (n=12). Spectral analysis and machine learning classification were employed to examine systematic changes between healthy controls and SSc patients. The results demonstrate differences in spectra and promising accuracy in classification, with further work needed to extract oxygenation values and improve signal-to-noise ratio. MSI shows potential for improving sensitivity of nailfold capillaroscopy and detection of changes in early disease.

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Citation Download Citation

Michaela Taylor-Williams, Irsa Khalil, Graham Dinsdale, Joanne Manning, Michael Berks, Andrea Murray, and Sarah E. Bohndiek "Multispectral imaging in nailfold capillaroscopy for the detection of systemic sclerosis", Proc. SPIE PC12827, Multiscale Imaging and Spectroscopy V, PC128270M (13 March 2024); https://doi.org/10.1117/12.3002477

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KEYWORDS

Multispectral imaging

Cameras

Capillaries

Control systems

Image segmentation

Imaging systems

Light sources

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