Speckle in Optical Coherence Tomography

Schmitt, Joseph M.; Xiang, Shao‐Hua; Yung, Kin Man

doi:10.1117/1.429925

Cited by 748 publications

(539 citation statements)

References 28 publications

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“…Other authors have used different techniques to separately estimate the effects of the scattering coefficient µ s and anisotropy g of scattering [10]. We note that more complex models are possible, accounting for the heterogeneity of size, shape, and density of the scatterers in biological tissue [14] and speckle noise [15], and may provide more sophisticated quantitative measures for tissue differentiation.…”

Section: Discussionmentioning

confidence: 99%

Mapping Tissue Optical Attenuation to Identify Cancer Using Optical Coherence Tomography

McLaughlin¹,

Scolaro²,

Robbins

et al. 2009

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009

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Abstract.The lymphatic system is a common route for the spread of cancer and the identification of lymph node metastases is a key task during cancer surgery. This paper demonstrates the use of optical coherence tomography to construct parametric images of lymph nodes. It describes a method to automatically estimate the optical attenuation coefficient of tissue. By mapping the optical attenuation coefficient at each location in the scan, it is possible to construct a parametric image indicating variations in tissue type. The algorithm is applied to ex vivo samples of human axillary lymph nodes and validated against a histological gold standard. Results are shown illustrating the variation in optical properties between cancerous and healthy tissue.

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Section: Discussionmentioning

confidence: 99%

Mapping Tissue Optical Attenuation to Identify Cancer Using Optical Coherence Tomography

McLaughlin¹,

Scolaro²,

Robbins

et al. 2009

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009

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“…However, accurate quantitative measurements are not readily obtained from OCT images since detected signals comprise convoluted information from single and multiple scattering events as well as interference among photons within a given imaging volume. 8,9 These effects impede quantification, especially in nonuniform scattering media such as biological tissues. 10 Studies have previously modeled scattering in tissue phantoms using the independent scattering approximation, which yields signal linearity with concentration.…”

mentioning

confidence: 99%

Quantitative contrast-enhanced optical coherence tomography

Winetraub

SoRelle

Liba

et al. 2016

Applied Physics Letters

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We have developed a model to accurately quantify the signals produced by exogenous scattering agents used for contrast-enhanced Optical Coherence Tomography (OCT). This model predicts distinct concentration-dependent signal trends that arise from the underlying physics of OCT detection. Accordingly, we show that real scattering particles can be described as simplified ideal scatterers with modified scattering intensity and concentration. The relation between OCT signal and particle concentration is approximately linear at concentrations lower than 0.8 particle per imaging voxel. However, at higher concentrations, interference effects cause signal to increase with a square root dependence on the number of particles within a voxel. Finally, high particle concentrations cause enough light attenuation to saturate the detected signal. Predictions were validated by comparison with measured OCT signals from gold nanorods (GNRs) prepared in water at concentrations ranging over five orders of magnitude (50 fM to 5 nM). In addition, we validated that our model accurately predicts the signal responses of GNRs in highly heterogeneous scattering environments including whole blood and living animals. By enabling particle quantification, this work provides a valuable tool for current and future contrast-enhanced in vivo OCT studies. More generally, the model described herein may inform the interpretation of detected signals in modalities that rely on coherence-based detection or are susceptible to interference effects. V C 2016 AIP Publishing LLC.

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“…The speckle pattern, appearing as a grainy fine structure in OCT images, is caused by interference of light reflected from many randomly distributed scatterers within the probing volume [54]. Speckle characteristics, such as the size and the intensity distribution can provide additional information about the underlying scatterers [55,56].…”

Section: Optical Properties Of the Samplementioning

confidence: 99%

“…However, the speckle texture obscures small features in the image and is usually considered a source of noise. Numerous speckle reduction methods have therefore been developed and applied to OCT [54]. Some are based on incoherent addition of several signals from the same location under varying conditions, e. g. angular compounding [57], spatial compounding [58,59], and frequency compounding [60].…”

Section: Optical Properties Of the Samplementioning

confidence: 99%

Optical coherence tomography—current technology and applications in clinical and biomedical research

et al. 2011

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Optical coherence tomography (OCT) is a non-invasive imaging technique providing real-time twoand three-dimensional images of scattering samples with micrometer resolution. Mapping the local reflectivity, OCT visualizes the morphology of the sample. In addition, functional properties such as birefringence, motion or the distribution of certain substances can be detected with high spatial resolution. The main field of application is bio-medical imaging and diagnostics. In ophthalmology, OCT is accepted as a clinical standard for diagnosing and monitoring treatment of a number of retinal diseases, and OCT is becoming an important instrument for clinical cardiology. New applications are emerging in various medical fields, e. g. early-stage cancer detection, surgical guidance, and early diagnosis of musculoskeletal diseases. OCT has also proven its value as a tool for developmental biology. The number of companies involved in manufacturing OCT systems has increased substantially during the last years-especially due to its success in opthalmology-and this technology can be expected to continue to spread into various fields of application.

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Speckle in Optical Coherence Tomography

Cited by 748 publications

References 28 publications

Mapping Tissue Optical Attenuation to Identify Cancer Using Optical Coherence Tomography

Mapping Tissue Optical Attenuation to Identify Cancer Using Optical Coherence Tomography

Quantitative contrast-enhanced optical coherence tomography

Optical coherence tomography—current technology and applications in clinical and biomedical research

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