ArticleIEEE transactions on medical imaging2015
Automated, Depth-Resolved Estimation of the Attenuation Coefficient From Optical Coherence Tomography Data.
Article in IEEE transactions on medical imaging, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
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Who cites it
37 citing papers in PubMed.
- Identification and quantification of oral lymphatic vessel networks using optical coherence tomography (OCT).Biomedical optics express · 2026Article
- Depth-Resolved Attenuation Coefficient Quantification During Murine Embryonic Brain Development.Journal of biophotonics · 2025Article
- Quantitative assessment of retinal attenuation and backscattering in OCT imaging using iterative layer-based analysis.Biomedical optics express · 2025Article
- Optimizing optical coherence tomography to detect occult spermatozoa in rat testis after induced non-obstructive azoospermia.Journal of biomedical optics · 2025Article
- Basis function model to extract the combined confocal and fall-off function from multiple optical coherence tomography A-scans.Journal of biomedical optics · 2025Article
- Optical attenuation coefficient decorrelation-based optical coherence tomography angiography for microvascular evaluation of Alzheimer's disease on mice.Neurophotonics · 2025Article
- Confocal corrected attenuation coefficient imaging in phantoms andBiomedical optics express · 2023Article
- Multiparameter interferometric polarization-enhanced imaging differentiates carcinomaJournal of biomedical optics · 2023Article
- Depth-dependent attenuation and backscattering characterization of optical coherence tomography by stationary iterative method.Journal of biomedical optics · 2023Article
- Accuracy and precision of depth-resolved estimation of attenuation coefficients in optical coherence tomography.Journal of biomedical optics · 2023Article
- Using beam-offset optical coherence tomography to reconstruct backscattered photon profiles in scattering media.Biomedical optics express · 2022Article
- Depth-resolved extraction of optical attenuation for glaucoma assessment in clinical settings: a pilot study.Biomedical optics express · 2022Article
- Investigation of methods to extract confocal function parameters for the depth resolved determination of attenuation coefficients using OCT in intralipid samples, titanium oxide phantoms, and in vivo human retinas.Biomedical optics express · 2021Article
- Characterization and quantification of necrotic tissues and morphology in multicellular ovarian cancer tumor spheroids using optical coherence tomography.Biomedical optics express · 2021Article
- Attenuation coefficient estimation in Fourier-domain OCT of multi-layered phantoms.Biomedical optics express · 2021Article
- Method for parametric imaging of attenuation by intravascular optical coherence tomography.Biomedical optics express · 2021Article
- Quantitative research on the interaction between cerebral edema and peripheral cerebral blood perfusion using swept-source optical coherence tomography.Quantitative imaging in medicine and surgery · 2021Article
- Bayesian analysis of depth resolved OCT attenuation coefficients.Scientific reports · 2021Article
- Analysis of attenuation coefficient estimation in Fourier-domain OCT of semi-infinite media.Biomedical optics express · 2020Article
- Improving the characterization ofNeurophotonics · 2020Article
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7 authors.
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Abstract
We present a method for automated, depth-resolved extraction of the attenuation coefficient from Optical Coherence Tomography (OCT) data. In contrast to previous automated, depth-resolved methods, the Depth-Resolved Confocal (DRC) technique derives an invertible mapping between the measured OCT intensity data and the attenuation coefficient while considering the confocal function and sensitivity fall-off, which are critical to ensure accurate measurements of the attenuation coefficient in practical settings (e.g., clinical endoscopy). We also show that further improvement of the estimated attenuation coefficient is possible by formulating image denoising as a convex optimization problem that we term Intensity Weighted Horizontal Total Variation (iwhTV). The performance and accuracy of DRC alone and DRC+iwhTV are validated with simulated data, optical phantoms, and ex-vivo porcine tissue. Our results suggest that implementation of DRC+iwhTV represents a novel way to improve OCT contrast for better tissue characterization through quantitative imaging.
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