Mr. Foudil Dadouche Profile

Foudil Dadouche

at ICube SERTIT

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Proceedings Article | 19 July 2019 Paper

Real-time multispectral optical imaging using GPGPU processing

Enagnon Aguénounon, Foudil Dadouche, Wilfried Uhring, Sylvain Gioux

Proceedings Volume 11073, 110730V (2019) https://doi.org/10.1117/12.2526766

KEYWORDS: MATLAB, Modulation, Optical properties, Absorption, Graphics processing units, Scattering, Demodulation, Image processing, Optical imaging, Multispectral imaging

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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.

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