OCT lymphangiography based on speckle statistics evaluation

Matveev, Lev A.; Demidov, Valentin; Sirotkina, Marina A.; Karashtin, D. A.; Moiseev, Alexander A.; Popov, Ivan A.; Sovetsky, Alexander A.; Matveyev, Alexander L.; Demidova, Olga; Gelikonov, Grigory V.; Flueraru, Costel; Zagaynova, Elena V.; Gladkova, Natalia D.; Zaitsev, Vladimir Yu.; Vitkin, I. Alex

doi:10.1117/12.2523291

Cited by 4 publications

(5 citation statements)

References 10 publications

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“…Matveev et al. 32 and Demidov et al. 33 used spatial speckle statistics on OCT lymphangiography and neurography to map lymphatic vessels, based on the analysis of the parameters of

.…”

Section: Resultsmentioning

confidence: 99%

“…In most of the reviewed works, the authors aimed to further understand the physical meaning of the light speckle and how to model it mathematically. 3 , 16 , 17 , 21 , 39 , 40 , 49 , 53 , 55 Although its interpretability remains a challenging task, a number of works have shown the feasibility of speckle-derived quantifications for biomedical imaging related tasks, including classification (e.g., healthy/pathological), 1 , 2 , 4 , 8 , 12 – 14 , 23 – 26 , 32 – 34 , 37 , 43 – 46 segmentation (e.g., vessels), 15 motion quantification (when dynamic data is provided), 6 , 48 , 49 , 51 – 53 and image fidelity. 54 Nevertheless, some aspects and limitations of those techniques should be discussed to improve future works.…”

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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“…Matveev et al. 32 and Demidov et al. 33 used spatial speckle statistics on OCT lymphangiography and neurography to map lymphatic vessels, based on the analysis of the parameters of

.…”

Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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

et al. 2022

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“…Higher range of σ values (13<σ<20) and 96%<R 2 <98% was preliminary determined to belong to pores feeding the colonies inside biofilms (Figure 2B, pores identification histogram). We have previously successfully applied multi-parametric Rayleigh fitting approach to noise filtering and lymphatic microvasculature detection [10,11].…”

Section: Oct-based Mrsa Detection Methodsmentioning

confidence: 99%

Optical coherence tomography-based detection of orthopaedic implant biofilms formed by Methicillin-resistant S.aureus (MRSA)

Demidov,

Demidova,

Hazem

et al. 2024

Photonic Diagnosis, Monitoring, Prevention, and Treatment of Infections and Inflammatory Diseases 2024

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Orthopaedic implant-associated infections cause serious complications primarily attributed to bacterial biofilm formation and often characterized by increased antibiotic resistance and diminished treatment response. There is currently a lack of imaging modalities that can directly visualize biofilms to determine the location and extent of contamination. Optical coherence tomography (OCT) is a portable, non-invasive, high-resolution imaging modality with the potential to fulfill this unmet need. In this study, we aim to evaluate the efficacy of OCT in detecting biofilms formed by life-and limb-threatening bacteria on orthopaedic implants. Bioluminescent strain SAP231 of methicillin-resistant S.aureus (MRSA) was used to grow biofilms on the surfaces of titanium and stainless-steel orthopaedic hardware situated inside custom-designed macrofluidic devices, allowing continuous nutrient broth supply and waste removal. Three-dimensional OCT images of each piece of hardware were obtained every 24 hours with subsequent bioluminescence imaging using the PerkinElmer IVIS Spectrum. OCT texture analysis based on multi-parametric fitting approach was developed and validated against IVIS quantification for accurate identification of live MRSA signatures. The monitoring of biofilm formation and measurement of film thicknesses starting at 12 micrometers and reaching 180 micrometers in 72 hours on metal hardware is demonstrated. This proof-of-concept study highlights the ability of OCT to detect and quantify the formation of MRSA bacterial biofilms in a high fidelity orthopaedic implant biofilm model in vitro, opening avenues for translation of this technique to preclinical models of contaminated orthopaedic trauma surgery and further clinical translation.

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“…Utilizing OCT for non-invasive nerve visualization is a field yet to be thoroughly investigated, although there have been promising initial feasibility reports on OCT peripheral nerve identification 10 – 12 In our previous studies, 10 , 18 we presented a novel methodology for visualizing lymphatics (and somewhat unexpectedly also detecting nerves), based on texture analysis of spatial speckle statistics. However, the newly in-vivo detected lymphatics and nerves were not clearly differentiated.…”

Section: Introductionmentioning

confidence: 99%

Detection and differentiation of semi-transparent materials simulating biological structures using optical coherence tomography: a phantom study

et al. 2022

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Significance: Lymphatic and peripheral nervous system imaging is of prime importance for monitoring various important pathologic processes including cancer development and metastasis, and response to therapy.Aim: Optical coherence tomography (OCT) is a promising approach for this imaging task but is challenged by the near-transparent nature of these structures. Our aim is to detect and differentiate semi-transparent materials using OCT texture analysis, toward label-free neurography and lymphography. Approach:We have recently demonstrated an innovative OCT texture analysis-based approach that used speckle statistics to image lymphatics and nerves in-vivo that does not rely on negative contrast. However, these two near-transparent structures could not be easily differentiated from each other in the texture analysis parameter space. Here, we perform a rigorous follow-up study to improve upon this differentiation in controlled phantoms mimicking the optical properties of these tissues. Results:The results of the three-parameter Rayleigh distribution fit to the OCT images of six types of tissue-mimicking materials varying in transparency and biophysical properties demonstrate clear differences between them, suggesting routes for improved lymphatics-nerves differentiation. Conclusions:We demonstrate a novel OCT texture analysis-based lymphatics-nerves differentiation methodology in tissue-simulating phantoms. Future work will focus on longitudinal in-vivo lymphangiography and neurography in response to cancer therapeutics toward adaptive personalized medicine.

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OCT lymphangiography based on speckle statistics evaluation

Cited by 4 publications

References 10 publications

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

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

Optical coherence tomography-based detection of orthopaedic implant biofilms formed by Methicillin-resistant S.aureus (MRSA)

Detection and differentiation of semi-transparent materials simulating biological structures using optical coherence tomography: a phantom study

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