Characterization of a spectral imaging system

Steven C. Gebhart; Wei-Chiang Lin; Anita Mahadevan-Jansen

doi:10.1117/12.479856

2 July 2003 Characterization of a Spectral Imaging System

Steven C. Gebhart, Wei-Chiang Lin, Anita Mahadevan-Jansen

Proceedings Volume 4959, Spectral Imaging: Instrumentation, Applications, and Analysis II; (2003) https://doi.org/10.1117/12.479856
Event: Biomedical Optics, 2003, San Jose, CA, United States

Abstract

Complete infiltrating brain tumor margin resection continually eludes neurosurgeons due to inherent limitations of current margin localization techniques. A need exists for an objective, on-site, real-time imaging system which can accurately localize brain tumor margins and therefore be used as a basis for image-guided surgery. Optical biopsy methods are a proven means for successful brain tissue discrimination, indicating promise for spectral imaging to fill such a need. Before testing spectral imaging for surgical guidance, various spectral imaging modalities must be systematically compared to determine the modality most conducive to the clinical setting. A liquid crystal tunable filter spectral imaging system was characterized for field of view, spatial and spectral resolution, and ability to retain spectral features acquired from a clinical single-pixel spectroscopy system. For a 35-mm diameter field of view, the system possessed a spatial resolution of 50 μm in both image dimensions and a spectral resolution which monotonically increased from 10 to 30 nm over the tuning range of the filter. Differences between imaging and single-pixel spectra for location and FWHM of fluorescence peaks from two fluorescent dye targets were summarily less than 3 nm. However, two remediable artifacts were introduced to imaging system spectra during spectral sensitivity correction.

Citation Download Citation

Steven C. Gebhart, Wei-Chiang Lin, and Anita Mahadevan-Jansen "Characterization of a Spectral Imaging System", Proc. SPIE 4959, Spectral Imaging: Instrumentation, Applications, and Analysis II, (2 July 2003); https://doi.org/10.1117/12.479856

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