Speckle statistics of biological tissues in optical coherence tomography

Ge, Gary R.; Rolland, Jannick P.; Parker, Kevin J.

doi:10.1364/boe.422765

Cited by 16 publications

(11 citation statements)

References 48 publications

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“…Other study comparing

-distribution with Rayleigh and Gamma distributions was presented by Ge et al. 29 in pig and mouse biological tissues. The

-distribution was the best fit for the excised pig brain (cortex) using a KS test (

).…”

Section: Resultsmentioning

confidence: 99%

“…A form of the Burr type XII distribution was recently used to model OCT speckle data. 29 , 35 It corresponds to a two-parameter distribution for non-negative random variables, where one of its shape parameters (

) is set to 2 and can be described as

where

is the power law parameter and

is the scale parameter. This distribution was used by Ge et al 29 to model speckle OCT data in a gelatin phantom with milk, and a set of ex vivo tissue: mouse brain, mouse liver, pig cornea, and chicken muscle.…”

Section: Resultsmentioning

confidence: 99%

“… 29 , 35 It corresponds to a two-parameter distribution for non-negative random variables, where one of its shape parameters (

) is set to 2 and can be described as

where

is the power law parameter and

, and gamma distributions for all the tissues.…”

Section: Resultsmentioning

confidence: 99%

“…Furthermore, other authors have successfully applied other distributions to the same application, such as Niemczyk et al., 23 who used the Gamma distribution to study the effect of IOP on corneal OCT speckle from porcine eyes. In addition, a recently used distribution (Burr) seems promising in modeling OCT speckle amplitude in several tissues (e.g., mouse, pig, chicken, and human 29 ) and can also be used to the study of IOP. 36 The lack of strong evidence provided by the studies precludes drawing conclusions on the PDF which provides the best fit for each application, since in some of them, exhaustive comparisons and physical meaning do not exist.…”

Section: Discussionmentioning

confidence: 99%

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Signal-carrying speckle in optical coherence tomography: a methodological review on biomedical applications

et al. 2022

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. Significance: Speckle has historically been considered a source of noise in coherent light imaging. However, a number of works in optical coherence tomography (OCT) imaging have shown that speckle patterns may contain relevant information regarding subresolution and structural properties of the tissues from which it is originated. Aim: The objective of this work is to provide a comprehensive overview of the methods developed for retrieving speckle information in biomedical OCT applications. Approach: PubMed and Scopus databases were used to perform a systematic review on studies published until December 9, 2021. From 146 screened studies, 40 were eligible for this review. Results: The studies were clustered according to the nature of their analysis, namely static or dynamic, and all features were described and analyzed. The results show that features retrieved from speckle can be used successfully in different applications, such as classification and segmentation. However, the results also show that speckle analysis is highly application-dependant, and the best approach varies between applications. Conclusions: Several of the reviewed analyses were only performed in a theoretical context or using phantoms, showing that signal-carrying speckle analysis in OCT imaging is still in its early stage, and further work is needed to validate its applicability and reproducibility in a clinical context.

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“…Other study comparing

-distribution with Rayleigh and Gamma distributions was presented by Ge et al. 29 in pig and mouse biological tissues. The

-distribution was the best fit for the excised pig brain (cortex) using a KS test (

).…”

Section: Resultsmentioning

confidence: 99%

) is set to 2 and can be described as

where

is the power law parameter and

Section: Resultsmentioning

confidence: 99%

“… 29 , 35 It corresponds to a two-parameter distribution for non-negative random variables, where one of its shape parameters (

) is set to 2 and can be described as

where

is the power law parameter and

, and gamma distributions for all the tissues.…”

Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

See 2 more Smart Citations

Signal-carrying speckle in optical coherence tomography: a methodological review on biomedical applications

et al. 2022

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“…Following the methods of Ge et al, 66 results from OCT studies of fresh samples of calf liver were examined for speckle statistics. The scanning system utilized a swept source laser (HSL-2100-WR, Santec, Aichi, Japan) with a center wavelength of 1310 nm and full-width half-maximum Table 1 Four samples of the results from fitting the Burr distribution to the speckle statistics for the cases shown in Fig.…”

Section: Optical Coherence Tomographymentioning

confidence: 99%

Generalized formulations producing a Burr distribution of speckle statistics

Parker

Poul

2022

J. Med. Imag.

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Purpose: The study of speckle from imaging systems has a rich history, and recently it was proposed that a fractal or power law distribution of scatterers in vascularized tissue will lead to a form of the Burr probability distribution functions for speckle amplitudes. This hypothesis is generalized and tested in theory, simulations, and experiments.Approach: We argue that two broadly applicable conjectures are sufficient to justify the applicability of the Burr distribution for speckle from a number of acoustical, optical, and other pulseecho systems. The first requirement is a multiscale power law distribution of weak scatterers, and the second is a linear approximation for the increase in echo intensity with size over some range of applicability. Results:The Burr distribution for speckle emerges under a wide variety of conditions and system parameters, and from this one can estimate the governing power law parameter, commonly in the range of 2 to 6. However, system effects including the imaging point spread function and the degree of focusing will influence the Burr parameters.Conclusions: A generalized pair of conditions is sufficient for producing Burr distributions across a number of imaging systems. Simulations and some theoretical considerations indicate that the estimated Burr power law parameter will increase with increasing density of scatters. For studies of speckle from living tissue or multiscale natural structures, the Burr distribution should be considered as a long tail alternative to classical distributions.

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