Determination of the optical properties of turbid media using relative interstitial radiance measurements: Monte Carlo study, experimental validation, and sensitivity analysis.
Interstitial quantification of the optical properties of tissue is important in biomedicine for both treatment planning of minimally invasive laser therapies and optical spectroscopic characterization of tissues, for example, prostate cancer. In a previous study, we analyzed a method first demonstrated by Dickey et al., [Phys. Med. Biol. 46, 2359 (2001)] to utilize relative interstitial steady-state radiance measurements for recovering the optical properties of turbid media. The uniqueness of point radiance measurements were demonstrated in a forward sense, and strategies were suggested for improving performance under noisy experimental conditions. In this work, we test our previous conclusions by fitting the P3 approximation for radiance to Monte Carlo predictions and experimental data in tissue-simulating phantoms. Fits are performed at: 1. a single sensor position (0.5 or 1 cm), 2. two sensor positions (0.5 and 1 cm), and 3. a single sensor position (0.5 or 1 cm) with input knowledge of the sample's effective attenuation coefficient. The results demonstrate that single sensor radiance measurements can be used to retrieve optical properties to within approximately 20%, provided the transport albedo is greater than approximately 0.9. Furthermore, compared to the single sensor fits, employing radiance data at two sensor positions did not significantly improve the accuracy of recovered optical properties. However, with knowledge of the effective attenuation coefficient of the medium, optical properties can be retrieved experimentally to within approximately 10% for an albedo greater or equal to 0.5.
Chin
Lee C L
LC
University of Toronto and Ontario Cancer Institute, Department of Medical Biophysics, 610 University Avenue 13-206, Toronto M5G 2M9, Canada. Lee.Chin@rmp.uhn.on.ca
Worthington
Arthur E
AE
Whelan
William M
WM
Vitkin
I Alex
IA
D006801:Humans; D053685:Laser Therapy; D008297:Male; D009010:Monte Carlo Method; D009391:Nephelometry and Turbidimetry / Q000379:methods* / Q000706:statistics & numerical data; D055095:Optics and Photonics; D019047:Phantoms, Imaging; D010778:Photochemotherapy; D011471:Prostatic Neoplasms / Q000628:therapy; D012680:Sensitivity and Specificity