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A Novel High-resolution In vivo Imaging Technique to Study the Dynamic Response of Intracranial Structures to Tumor Growth and Therapeutics
Published on: June 16, 2013
Liquid-crystal tunable filter spectral imaging for brain tumor demarcation
Steven C Gebhart1, Reid C Thompson, Anita Mahadevan-Jansen
1Department of Biomedical Engineering, Vanderbilt University, Tennessee 32735, USA.
Applied Optics
|March 16, 2007
Summary
This study presents a novel spectral imaging system for real-time brain tumor margin delineation. The system combines fluorescence and diffuse reflectance, enabling precise optical biopsy during surgery.
Area of Science:
- Biomedical Optics
- Surgical Guidance Technologies
- Medical Imaging
Background:
- Previous studies utilized combined fluorescence and diffuse reflectance spectroscopy for brain tissue discrimination.
- Real-time surgical resection guidance requires extending probe-based spectroscopy to spectral imaging for spatial demarcation of tumor margins.
Purpose of the Study:
- To design and characterize a spectral imaging system for real-time surgical resection guidance.
- To evaluate the system's performance in discriminating between normal and tumorous brain tissues.
Main Methods:
- Development of a combined fluorescence and diffuse reflectance imaging system utilizing liquid-crystal tunable filter technology.
- Quantitative characterization of linearity, field of view, spatial/spectral resolution, and wavelength sensitivity.
- Functional testing using tissue phantoms, ex vivo mouse brain, and in vivo human cortex.
Main Results:
- The system demonstrated linear intensity response with sample emission and integration time.
- Achieved a 1-inch field of view and pixel-limited spatial resolution.
- Successfully spectrally discriminated between brain tissues in vitro and captured adequate in vivo data within a 2-minute timeframe.
Conclusions:
- The developed spectral imaging system is capable of real-time, spatially resolved optical biopsy for brain tumor margin delineation.
- The system's performance is influenced by factors such as hemostasis, impacting signal strength and imaging speed.
- This technology holds promise for enhancing surgical precision in neuro-oncology.

