Macroscopic-imaging technique for subsurface quantification of near-infrared markers during surgery

Journal of Biomedical Optics
Michael JermynFrederic Leblond

Abstract

Obtaining accurate quantitative information on the concentration and distribution of fluorescent markers lying at a depth below the surface of optically turbid media, such as tissue, is a significant challenge. Here, we introduce a fluorescence reconstruction technique based on a diffusion light transport model that can be used during surgery, including guiding resection of brain tumors, for depth-resolved quantitative imaging of near-infrared fluorescent markers. Hyperspectral fluorescence images are used to compute a topographic map of the fluorophore distribution, which yields structural and optical constraints for a three-dimensional subsequent hyperspectral diffuse fluorescence reconstruction algorithm. Using the model fluorophore Alexa Fluor 647 and brain-like tissue phantoms, the technique yielded estimates of fluorophore concentration within ±25% of the true value to depths of 5 to 9 mm, depending on the concentration. The approach is practical for integration into a neurosurgical fluorescence microscope and has potential to further extend fluorescence-guided resection using objective and quantified metrics of the presence of residual tumor tissue.

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Citations

Aug 5, 2017·Journal of Neurosurgery·David W RobertsKeith D Paulsen
Oct 28, 2015·Biomedical Optics Express·Jonathan T ElliottBrian W Pogue
Mar 4, 2020·Sensors·Enrique VillaJuan Ruiz-Alzola
Dec 17, 2018·Journal of Neuro-oncology·Linpeng WeiJonathan T C Liu

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