A Robust Monte Carlo Model for the Extraction of Biological Absorption and Scattering In Vivo

We have a toolbox to quantify tissue optical properties that is composed of specialized fiberoptic probes for UV-visible diffuse reflectance spectroscopy and a fast, scalable inverse Monte Carlo (MC) model. In this paper, we assess the robustness of the toolbox for quantifying physiologically relevant parameters from turbid tissue-like media. In particular, we consider the effects of using different instruments, fiberoptic probes, and instrument-specific settings for a wide range of optical properties. Additionally, we test the quantitative accuracy of the inverse MC model for extracting the biologically relevant parameters of hemoglobin saturation and total hemoglobin concentration. We also test the effect of double-absorber phantoms (hemoglobin and crocin to model the absorption of hemoglobin and beta carotene, respectively, in the breast) for a range of absorption and scattering properties. We include an assessment on which reference phantom serves as the best calibration standard to enable accurate extraction of the absorption and scattering properties of the target sample. We found the best reference-target phantom combinations to be ones with similar scattering levels. The results from these phantom studies provide a set of guidelines for extracting optical parameters from clinical studies.

[1]  Nirmala Ramanujam,et al.  Comparison of multiexcitation fluorescence and diffuse reflectance spectroscopy for the diagnosis of breast cancer (March 2003) , 2003, IEEE Transactions on Biomedical Engineering.

[2]  S. Mohanty,et al.  Measurement of optical transport properties of normal and malignant human breast tissue. , 2001, Applied optics.

[3]  Heidrun Wabnitz,et al.  Quantification of optical properties of a breast tumor using random walk theory. , 2002, Journal of biomedical optics.

[4]  B. Tromberg,et al.  Diffuse optical monitoring of blood flow and oxygenation in human breast cancer during early stages of neoadjuvant chemotherapy. , 2007, Journal of biomedical optics.

[5]  M. H. Koelink,et al.  Condensed Monte Carlo simulations for the description of light transport. , 1993, Applied optics.

[6]  B. Tromberg,et al.  Predicting response to breast cancer neoadjuvant chemotherapy using diffuse optical spectroscopy , 2007, Proceedings of the National Academy of Sciences of the United States of America.

[7]  S. Lakhani,et al.  Diagnosis of breast cancer using elastic-scattering spectroscopy: preliminary clinical results. , 2000, Journal of biomedical optics.

[8]  N. Ramanujam,et al.  Comparison of a physical model and principal component analysis for the diagnosis of epithelial neoplasias in vivo using diffuse reflectance spectroscopy. , 2007, Optics express.

[9]  Christian Depeursinge,et al.  In vivo endoscopic tissue diagnostics based on spectroscopic absorption, scattering, and phase function properties. , 2003, Journal of biomedical optics.

[10]  Nirmala Ramanujam,et al.  Diagnosis of breast cancer using diffuse reflectance spectroscopy: Comparison of a Monte Carlo versus partial least squares analysis based feature extraction technique , 2006, Lasers in surgery and medicine.

[11]  Jun Q. Lu,et al.  Determination of complex refractive index of polystyrene microspheres from 370 to 1610 nm , 2003, Physics in medicine and biology.

[12]  G. Zonios,et al.  Diffuse reflectance spectroscopy of human adenomatous colon polyps in vivo. , 1999, Applied optics.

[13]  S. Shapshay,et al.  Spectroscopic detection and evaluation of morphologic and biochemical changes in early human oral carcinoma , 2003, Cancer.

[14]  B. Tromberg,et al.  Monitoring neoadjuvant chemotherapy in breast cancer using quantitative diffuse optical spectroscopy: a case study. , 2004, Journal of biomedical optics.

[15]  Nirmala Ramanujam,et al.  Autofluorescence and diffuse reflectance properties of malignant and benign breast tissues , 2006, Annals of Surgical Oncology.

[16]  G. R. Kelman,et al.  Digital computer subroutine for the conversion of oxygen tension into saturation. , 1966, Journal of applied physiology.

[17]  Nirmala Ramanujam,et al.  Monte Carlo-based inverse model for calculating tissue optical properties. Part II: Application to breast cancer diagnosis. , 2006, Applied optics.

[18]  N. Ramanujam,et al.  Monte Carlo-based inverse model for calculating tissue optical properties. Part I: Theory and validation on synthetic phantoms. , 2006, Applied optics.

[19]  Thomas H. Foster,et al.  Noninvasive near-infrared hemoglobin spectroscopy for in vivo monitoring of tumor oxygenation and response to oxygen modifiers , 1997, Photonics West - Biomedical Optics.

[20]  R R Alfano,et al.  Light sheds light on cancer--distinguishing malignant tumors from benign tissues and tumors. , 1991, Bulletin of the New York Academy of Medicine.

[21]  M. Huang,et al.  Utilizing optical tomography with ultrasound localization to image heterogeneous hemoglobin distribution in large breast cancers. , 2005, Neoplasia.

[22]  Arjen Amelink,et al.  In vivo measurement of the local optical properties of tissue by use of differential path-length spectroscopy. , 2004, Optics letters.

[23]  Bruce J Tromberg,et al.  Hemoglobin measurement patterns during noninvasive diffuse optical spectroscopy monitoring of hypovolemic shock and fluid replacement. , 2007, Journal of biomedical optics.

[24]  B. Hooper Optical-thermal response of laser-irradiated tissue , 1996 .

[25]  W. Raub From the National Institutes of Health. , 1990, JAMA.

[26]  Nirmala Ramanujam,et al.  Use of a multiseparation fiber optic probe for the optical diagnosis of breast cancer. , 2005, Journal of biomedical optics.

[27]  R R Alfano,et al.  DNA and Protein Changes Caused by Disease in Human Breast Tissues Probed by the Kubelka–Munk Spectral Function ¶ , 2002, Photochemistry and photobiology.

[28]  E. Burnside,et al.  Feasibility of near-infrared diffuse optical spectroscopy on patients undergoing imageguided core-needle biopsy. , 2007, Optics express.

[29]  R R Alfano,et al.  UV reflectance spectroscopy probes DNA and protein changes in human breast tissues. , 2001, Journal of clinical laser medicine & surgery.

[30]  Anthony J. Durkin,et al.  Reflectance-based determination of optical properties in highly attenuating tissue. , 2003, Journal of biomedical optics.