6 April 2016 Intraoperative optical biopsy for brain tumors using spectro-lifetime properties of intrinsic fluorophores
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Abstract
We have developed and tested a system for real-time intra-operative optical identification and classification of brain tissues using time-resolved fluorescence spectroscopy (TRFS). A supervised learning algorithm using linear discriminant analysis (LDA) employing selected intrinsic fluorescence decay temporal points in 6 spectral bands was employed to maximize statistical significance difference between training groups. The linear discriminant analysis on in vivo human tissues obtained by TRFS measurements (N = 35) were validated by histopathologic analysis and neuronavigation correlation to pre-operative MRI images. These results demonstrate that TRFS can differentiate between normal cortex, white matter and glioma.
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Fartash Vasefi, Fartash Vasefi, David S. Kittle, David S. Kittle, Zhaojun Nie, Zhaojun Nie, Christina Falcone, Christina Falcone, Chirag G. Patil, Chirag G. Patil, Ray M. Chu, Ray M. Chu, Adam N. Mamelak, Adam N. Mamelak, Keith L. Black, Keith L. Black, Pramod V. Butte, Pramod V. Butte, } "Intraoperative optical biopsy for brain tumors using spectro-lifetime properties of intrinsic fluorophores", Proc. SPIE 9711, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues IX, 97111T (6 April 2016); doi: 10.1117/12.2214252; https://doi.org/10.1117/12.2214252
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