Enhancing intra-operative tumour delineation with multispectral SWIR fluorescence imaging and machine learning

Dale J. Waterhouse; Laura Privitera; Danail Stoyanov; Stefano Giuliani

doi:10.1117/12.2654152

17 March 2023 Enhancing intra-operative tumour delineation with multispectral SWIR fluorescence imaging and machine learning

Dale J. Waterhouse, Laura Privitera, Danail Stoyanov, Stefano Giuliani

Author Affiliations +

Proceedings Volume PC12361, Molecular-Guided Surgery: Molecules, Devices, and Applications IX; PC1236107 (2023) https://doi.org/10.1117/12.2654152
Event: SPIE BiOS, 2023, San Francisco, California, United States

Abstract

Fluorescence-guided surgery (FGS) provides real-time visualisation of tumours with molecular specificity, but intensity-based measurement of fluorescence is prone to errors. Multispectral imaging (MSI) in the short-wave infrared (SWIR) has the potential to improve tumour delineation by enabling machine-learning-based classification of pixels based on their spectral characteristics. In this work, we demonstrate the ability of this approach to provide a robust method of visualizing tumour tissue during FGS.

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Citation Download Citation

Dale J. Waterhouse, Laura Privitera, Danail Stoyanov, and Stefano Giuliani "Enhancing intra-operative tumour delineation with multispectral SWIR fluorescence imaging and machine learning", Proc. SPIE PC12361, Molecular-Guided Surgery: Molecules, Devices, and Applications IX, PC1236107 (17 March 2023); https://doi.org/10.1117/12.2654152

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