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Proceedings Paper

Multimodal detection of DPN with spatial frequency domain and laser speckle contrast imaging (Conference Presentation)
Author(s): Wyatt M. Austin; Karissa Tilbury

Paper Abstract

Diabetic polyneuropathy (DPN) is a diabetic complication impacting 200,000 people in the United States where gold-standard clinical diagnosis require invasive and costly skin biopsies. Here we combine Spatial Frequency Domain Imaging (SFDI) and Laser Speckle Contrast Imaging (LSCI) to explore hemodynamic states in normal and diabetic skin for DPN detection. SFDI is a non-invasive diffuse optical technique sensitive to oxy- and deoxyhemoglobin composition through the multi-spectral separation of optical properties. In addition to SFDI, multi-exposure LSCI has the advantage of quantifying changes in tissue perfusion based on interference patterns detected from Doppler-shifted photons. In this work, we have developed a multi-layer Monte-Carlo based model to address both SFD and LSC inverse problems utilizing depth-modulating spatial projections coupled with a coherent source sensitive to flow dynamics.

Paper Details

Date Published: 9 March 2020
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Proc. SPIE 11229, Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XVIII, 112291C (9 March 2020); doi: 10.1117/12.2546147
Show Author Affiliations
Wyatt M. Austin, The Univ. of Maine (United States)
Karissa Tilbury, Univ. of Maine (United States)


Published in SPIE Proceedings Vol. 11229:
Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XVIII
Anita Mahadevan-Jansen, Editor(s)

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