Abstract
Quantitative data on the fundamental optical properties (OPs) of biological tissue, including absorption and reduced scattering coefficients are important for elucidating light propagation during optical spectroscopy and facilitating diagnostic device design and optimization, and may enable rapid detection of early neoplasia. However, systems for in situ broadband measurement of mucosal tissue OPs in the ultraviolet-visible range have not been realized. In this study, we evaluated a fiberoptic-based reflectance system, coupled with neural network inverse models (trained with Monte Carlo simulation data), for measuring OPs in highly attenuating, two-layer turbid media. The experimental system incorporated a broadband light source, a fiberoptic probe and a CCD camera. The calibration method involved a set of standard nigrosin-microsphere phantoms as well as a more permanent spectralon phantom for quality assurance testing and recalibration. The system was experimentally evaluated using two-layer hydrogel phantoms with hemoglobin and polystyrene microspheres. The effects of tissue top-layer thickness and fitting approaches based on known absorption and scattering distributions were discussed. With our method, measurements with error less than 28% were obtained in the wavelength range of 350-630 nm.
Original language | English (US) |
---|---|
Title of host publication | Progress in Biomedical Optics and Imaging - Proceedings of SPIE |
Volume | 7891 |
DOIs | |
State | Published - 2011 |
Externally published | Yes |
Event | Design and Quality for Biomedical Technologies IV - San Francisco, CA, United States Duration: Jan 23 2011 → Jan 25 2011 |
Other
Other | Design and Quality for Biomedical Technologies IV |
---|---|
Country/Territory | United States |
City | San Francisco, CA |
Period | 1/23/11 → 1/25/11 |
Keywords
- broadband
- fiberoptic
- Monte Carlo
- mucosal tissue
- neural network
- optical property
- reflectance
ASJC Scopus subject areas
- Atomic and Molecular Physics, and Optics
- Electronic, Optical and Magnetic Materials
- Biomaterials
- Radiology Nuclear Medicine and imaging