Fluorescence depth estimation in pre-clinical oral cancer models using spatial frequency domain imaging

Michael J. Daly; Ashley N. Gilbank; Jacqueline A. Fleisig; Murtuza V. Rajkotwala; Shaurya Gupta; Axel Sahovaler; Donovan Eu; Marco Ferrari; Brian C. Wilson; Jonathan C. Irish

doi:10.1117/12.2577832

15 March 2021 Fluorescence depth estimation in pre-clinical oral cancer models using spatial frequency domain imaging

Michael J. Daly, Ashley N. Gilbank, Jacqueline A. Fleisig, Murtuza V. Rajkotwala, Shaurya Gupta, Axel Sahovaler, Donovan Eu, Marco Ferrari, Brian C. Wilson, Jonathan C. Irish

Author Affiliations +

Proceedings Volume 11625, Molecular-Guided Surgery: Molecules, Devices, and Applications VII; 116250C (2021) https://doi.org/10.1117/12.2577832
Event: SPIE BiOS, 2021, Online Only

Abstract

Clinical trials with novel fluorescence contrast agents for head and neck cancer are driving new applications for fluorescence-guided surgery. Two-dimensional fluorescence imaging systems, however, provide limited in vivo assessment capabilities to determine tumor invasion depth below the mucosal surface. Here, we investigate the use of spatial frequency domain imaging (SFDI) methods for sub-surface fluorescence in tissue-simulating oral cancer phantoms. A two-step profile-correction approach for SFDI is under development to account for the complex surface topography of the oral cavity. First, for structured-illumination estimation of the surface profile, we are evaluating gray code and phase shift profilometry methods in agar-based oral cavity phantoms to maximize resolution and minimize sensitivity to surface discontinuities. Second, for profile-correction of the diffuse reflectance, global lighting effects within the oral cavity – analogous to an integrating sphere – are modeled using a multi-bounce numerical model. Subsurface fluorescence imaging is enabled based on the variations in optical sampling depth that result from changes in spatial frequency. An analytical depth recovery approach is based on a numerical diffusion theory model for semi-infinite fluorescence slabs of variable thickness. Depth estimation is evaluated in an agar-based phantom with fluorescence inclusions of thicknesses 1-5.5 mm originating from the top surface (“iceberg model”). Future clinical studies are necessary to assess in vivo performance and intraoperative workflow.

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Michael J. Daly, Ashley N. Gilbank, Jacqueline A. Fleisig, Murtuza V. Rajkotwala, Shaurya Gupta, Axel Sahovaler, Donovan Eu, Marco Ferrari, Brian C. Wilson, and Jonathan C. Irish "Fluorescence depth estimation in pre-clinical oral cancer models using spatial frequency domain imaging", Proc. SPIE 11625, Molecular-Guided Surgery: Molecules, Devices, and Applications VII, 116250C (15 March 2021); https://doi.org/10.1117/12.2577832

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