Paper
26 February 2010 Effects of spatial and spectral frequencies on wide-field functional imaging (wifi) characterization of preclinical breast cancer models
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Abstract
A common strategy to study breast cancer is the use of the preclinical model. These models provide a physiologically relevant and controlled environment in which to study both response to novel treatments and the biology of the cancer. Preclinical models, including the spontaneous tumor model and mammary window chamber model, are very amenable to optical imaging and to this end, we have developed a wide-field functional imaging (WiFI) instrument that is perfectly suited to studying tumor metabolism in preclinical models. WiFI combines two optical imaging modalities, spatial frequency domain imaging (SFDI) and laser speckle imaging (LSI). Our current WiFI imaging protocol consists of multispectral imaging in the near infrared (650-980 nm) spectrum, over a wide (7 cm x 5 cm) field of view. Using SFDI, the spatially-resolved reflectance of sinusoidal patterns projected onto the tissue is assessed, and optical properties of the tissue are determined, which are then used to extract tissue chromophore concentrations in the form of oxy-, deoxy-, and total hemoglobin concentrations, and percentage of lipid and water. In the current study, we employ Monte Carlo simulations of SFDI light propagation in order to characterize the penetration depth of light in both the spontaneous tumor model and mammary window chamber model. Preliminary results suggest that different spatial frequency and wavelength combinations have different penetration depths, suggesting the potential depth sectioning capability of the SFDI component of WiFI.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Austin Moy, Jae G. Kim, Eva Y. H. P. Lee, and Bernard Choi "Effects of spatial and spectral frequencies on wide-field functional imaging (wifi) characterization of preclinical breast cancer models", Proc. SPIE 7573, Biomedical Applications of Light Scattering IV, 757309 (26 February 2010); https://doi.org/10.1117/12.842829
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KEYWORDS
Tumors

Tissues

Spatial frequencies

Tissue optics

Breast cancer

Animal model studies

Monte Carlo methods

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