20 March 2015 Macroscopic-imaging technique for subsurface quantification of near-infrared markers during surgery
Author Affiliations +
J. of Biomedical Optics, 20(3), 036014 (2015). doi:10.1117/1.JBO.20.3.036014
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.
© 2015 Society of Photo-Optical Instrumentation Engineers (SPIE)
Michael Jermyn, Kolbein K. Kolste, Julien Pichette, Guillaume Sheehy, Leticia M. Angulo-Rodríguez, Keith D. Paulsen, David W. Roberts, Brian C. Wilson, Kevin Petrecca, Frederic Leblond, "Macroscopic-imaging technique for subsurface quantification of near-infrared markers during surgery," Journal of Biomedical Optics 20(3), 036014 (20 March 2015). https://doi.org/10.1117/1.JBO.20.3.036014


Tissue optics



Natural surfaces


Reconstruction algorithms

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