Characterizing optical properties and spatial heterogeneity of human ovarian tissue using spatial frequency domain imaging

Abstract

Abstract. A spatial frequency domain imaging (SFDI) system was developed for characterizing ex vivo human ovarian tissue using wide-field absorption and scattering properties and their spatial heterogeneities. Based on the observed differences between absorption and scattering images of different ovarian tissue groups, six parameters were quantitatively extracted. These are the mean absorption and scattering, spatial heterogeneities of both absorption and scattering maps measured by a standard deviation, and a fitting error of a Gaussian model fitted to normalized mean Radon transform of the absorption and scattering maps. A logistic regression model was used for classification of malignant and normal ovarian tissues. A sensitivity of 95%, specificity of 100%, and area under the curve of 0.98 were obtained using six parameters extracted from the SFDI images. The preliminary results demonstrate the diagnostic potential of the SFDI method for quantitative characterization of wide-field optical properties and the spatial distribution heterogeneity of human ovarian tissue. SFDI could be an extremely robust and valuable tool for evaluation of the ovary and detection of neoplastic changes of ovarian cancer. © The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

Spatial frequency domain imaging in 2019: principles, applications, and perspectives

“…Some examples include: using cooled high-dynamic range frame-transfer cameras for rapid and low-signal imaging, using both tunable light sources and hyperspectral cameras for spectral multiplexing, using multiple polarizer orientations to combine with polarization imaging, using commercial projectors to reduce costs, integrating SFDI within existing medical instruments such as surgical microscopes or endoscopes, and using coherent sources to get flow data from speckle. These systems are a combination of benchtop imaging systems with some being transportable to preclinical or clinical sites, 12,[17][18][19][20][21][22][23][24][25] as well as improved methods for robust measurement during clinical conditions [motion correction and three-dimensional (3-D) correction]. 26,27…”

Histogram analysis of en face scattering coefficient map predicts malignancy in human ovarian tissue

“…Histogram analysis has also been applied to MRI, ultrasound, and CT to characterize tumor heterogeneity . Spatial frequency domain imaging (SFDI) is another imaging modality that is able to quantify scattering and has shown promise in classifying ovarian tissue . SFDI has a large field of view; however, its resolution (~mm) is not high enough to detect neoplastic micro‐structural scatter changes associated with the progression of ovarian cancer.…”

Hyperspectral imaging in the spatial frequency domain with a supercontinuum source

“…12 SFDI has been used extensively to characterize the optical and physiological properties of tissue and visualize quantitative maps of tissue oxy/deoxyhemoglobin concentrations, both in-vivo and ex-vivo. [13][14][15] Hyperspectral SFDI methods were first introduced using a liquid crystal tunable filter (LCTF) in conjunction with an imaging camera and a conventional broadband source in order to serially acquire hyperspectral maps of tissue μ a and μ 0 s . 16 This system can generate hyperspectral content that is limited by the speed and spectral performance features of the LCTF.…”