ArticleJournal of biomedical optics2016
Characterizing optical properties and spatial heterogeneity of human ovarian tissue using spatial frequency domain imaging.
Article in Journal of biomedical optics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- A Comprehensive Study of Reactive Oxygen Species Explicit Dosimetry for Pleural Photodynamic Therapy.Antioxidants (Basel, Switzerland) · 2024Article
- Ultra-miniature dual-wavelength spatial frequency domain imaging for micro-endoscopy.Journal of biomedical optics · 2024Article
- Monte Carlo simulations and phantom modeling for spatial frequency domain imaging of surgical wound monitoring.Journal of biomedical optics · 2023Article
- Ultrasound-enhanced Unet model for quantitative photoacoustic tomography of ovarian lesions.Photoacoustics · 2022Article
- A modified source-detector configuration for the discrimination between normal and diseased human breast based on the continuous-wave diffuse optical imaging approach: a simulation study.Lasers in medical science · 2022Article
- Perspective on the integration of optical sensing into orthopedic surgical devices.Journal of biomedical optics · 2022Article
- Multimodal hyperspectral fluorescence and spatial frequency domain imaging for tissue health diagnostics of the oral cavity.Biomedical optics express · 2021Article
- Article
- Virus-Mimicking Nanoparticles for Targeted Near Infrared Fluorescence Imaging of Intraperitoneal Ovarian Tumors in Mice.Annals of biomedical engineering · 2021Article
- Spatial frequency domain imaging for the longitudinal monitoring of vascularization during mouse femoral graft healing.Biomedical optics express · 2020Article
- Adaptive Boosting (AdaBoost)-based multiwavelength spatial frequency domain imaging and characterization for ex vivo human colorectal tissue assessment.Journal of biophotonics · 2020Article
- OpenSFDI: an open-source guide for constructing a spatial frequency domain imaging system.Journal of biomedical optics · 2020Article
- Histogram analysis of en face scattering coefficient map predicts malignancy in human ovarian tissue.Journal of biophotonics · 2019Article
- Hyperspectral imaging in the spatial frequency domain with a supercontinuum source.Journal of biomedical optics · 2019Article
- Spatial frequency domain imaging in 2019: principles, applications, and perspectives.Journal of biomedical optics · 2019Review
- Single snapshot imaging of optical properties using a single-pixel camera: a simulation study.Journal of biomedical optics · 2019Article
- Low-cost compact multispectral spatial frequency domain imaging prototype for tissue characterization.Biomedical optics express · 2018Article
- Review of structured light in diffuse optical imaging.Journal of biomedical optics · 2018Review
- Quantitative multispectralBiomedical optics express · 2018Article
- Reference-free determination of tissue absorption coefficient by modulation transfer function characterization in spatial frequency domain.Biomedical engineering online · 2017Article
Corrections and comments
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Authors and funding
6 authors.
Funding
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.
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