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Real-time multispectral optical imaging using GPGPU processing
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Paper Abstract

Novel imaging methods permitting real-time, wide-field and quantitative optical mapping of biological tissue properties offer an unprecedented range of potential new applications for clinical use such as guided surgery or patient monitoring. However, significant technical challenges have so far prevented such tools from performing in real-time (for both acquisition and processing) and therefore from being deployed in clinical practice. To overcome these limitations, recent research introduced methods based on Spatial Frequency Domain Imaging (SFDI) that allow real-time (within milliseconds) wide-field imaging of optical properties. In this study we present a novel implementation of general purpose graphic processing unit (GPGPU) direct programming in C CUDA (Compute Unified Device Architecture) for real-time, wide-field and quantitative multispectral imaging using our recently-developed spatio-temporal modulation of light imaging method. Using this new method, we are able to quantitatively obtain optical properties images (1 megapixel) at 2 wavelengths (665 nm and 860 nm) in only 1.52 ms with at most 1% error in comparison with standard Matlab processing.

Paper Details

Date Published: 19 July 2019
PDF: 5 pages
Proc. SPIE 11073, Clinical and Preclinical Optical Diagnostics II, 110730V (19 July 2019); doi: 10.1117/12.2526766
Show Author Affiliations
Enagnon Aguénounon, Univ. of Strasbourg (France)
Foudil Dadouche, Univ. of Strasbourg (France)
Wilfried Uhring, Univ. of Strasbourg (France)
Sylvain Gioux, Univ. of Strasbourg (France)


Published in SPIE Proceedings Vol. 11073:
Clinical and Preclinical Optical Diagnostics II
J. Quincy Brown; Ton G. van Leeuwen, Editor(s)

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