Quantifying temperature changes in tissue-mimicking fluid phantoms using optical coherence tomography and envelope statistics

Seevaratnam, Subaagari; Bains, Amitpal; Farid, Mashal; Farhat, Golnaz; Kolios, Michael C.; Standish, Beau A.

doi:10.1117/12.2040161

Cited by 7 publications

(14 citation statements)

References 9 publications

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“…Nonetheless, Akaike's Information Criterion has showed that despite the highest penalty being applied to GG distribution, it is the best distribution to fit the corneal OCT speckle data. Similar results were obtained by Ali et al [42] and Seevaratnam et al [43] who chose the GG distribution as the best distribution to fit the speckle in OCT skin images and to quantify temperature changes in tissue-mimicking fluid phantoms, respectively.…”

Section: Discussionsupporting

confidence: 80%

Assessment of corneal properties based on statistical modeling of OCT speckle

Jesus¹,

Iskander²

2016

Biomed. Opt. Express

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A new approach to assess the properties of the corneal micro-structure based on the statistical modeling of speckle obtained from Optical Coherence Tomography (OCT) is presented. A number of statistical models were proposed to fit the corneal speckle data obtained from OCT raw image. Short-term changes in corneal properties were studied by inducing corneal swelling whereas age-related changes were observed analyzing data of sixty-five subjects aged between twenty-four and seventy-three years. Generalized Gamma distribution has shown to be the best model, in terms of the Akaike's Information Criterion, to fit the OCT corneal speckle. Its parameters have shown statistically significant differences (Kruskal-Wallis, < 0.001) for short and age-related corneal changes. In addition, it was observed that age-related changes influence the corneal biomechanical behaviour when corneal swelling is induced. This study shows that Generalized Gamma distribution can be utilized to modeling corneal speckle in OCT providing complementary quantified information where micro-structure of corneal tissue is of essence.

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Section: Discussionsupporting

confidence: 80%

Assessment of corneal properties based on statistical modeling of OCT speckle

Jesus¹,

Iskander²

2016

Biomed. Opt. Express

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“…Those approaches, which observed tissue property changes through OCT images, used thermal coupler and optoacoustic measurements to determine and calibrate the tissue temperature information. As an alternative method, Seevaratnam et al 25 reported envelope statistics for OCT signals to quantify temperature changes of a phantom under a heating condition. Another method used the phase information from the OCT imaging.…”

Section: Introductionmentioning

confidence: 99%

Feasibility study: protein denaturation and coagulation monitoring with speckle variance optical coherence tomography

et al. 2016

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We performed the feasibility study using speckle variance optical coherence tomography (SvOCT) to monitor the thermally induced protein denaturation and coagulation process as a function of temperature and depth. SvOCT provided the depth-resolved image of protein denaturation and coagulation with microscale resolution. This study was conducted using egg white. During the heating process, as the temperature increased, increases in the speckle variance signal was observed as the egg white proteins coagulated. Additionally, by calculating the cross-correlation coefficient in specific areas, denaturized egg white conditions were successfully estimated. These results indicate that SvOCT could be used to monitor the denaturation process of various proteins.

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“…Moreover, Table 4.3 provides the correlation factor for each PDF, which indicates that the generalized gamma distribution was the best fit. Similar to the analysis of the titanium dioxide phantom, the parameters of the generalized gamma functions were also analyzed, which are shown in The Generalized Gamma distribution fits are shown above with respect to nine different temperature settings [49]. The changes with each peaks and position of the generalized gamma fits demonstrate that thermal changes influence the parameters that dictate the overall shape of the function.…”

Section: Oct Speckle and Envelope Statisticsmentioning

confidence: 99%

“…In order to measure the decorrelation time, the autocorrelation function was applied on the time-dependent intensity signal. The autocorrelation function of the monodisperse microsphere phantom which, undergoes Brownian motion can be described using an exponentially decaying function as shown in equation A.1 [49]:…”

Section: Conclusion 51 Summarymentioning

confidence: 99%

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The use of optical coherence tomography envelope statistics to quantify local temperature changes in tissue-mimicking phantoms

Seevaratnam¹

2021

Preprint

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There exists a multitude of extreme thermally induced therapies for treating both benign and malignant tumors. Advancement in optics has shown prospect in clinical applications, especially monitoring oncological clinical treatments like thermal ablation. Optical coherence tomography (OCT) backscattered spectrum has demonstrated sensitivity to structural changes on the microscopic level. Envelope statistics analysis on OCT images of tissue-mimicking phantoms that are thermally modulated can provide structural information that correlates to changes in temperature. Several probability distribution functions were analyzed by looking at suitable theoretical matches to the empirical OCT data. Results indicate that the generalized gamma function was the best fit and has potential in relating the scale parameter to the size of the scatterers in the phantom. Moreover, the parameters revealed sensitivity to temperature changes, which can be further studied to understand the biological response of tissue that are exposed to extreme thermal conditions in order to improve patient care.

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Quantifying temperature changes in tissue-mimicking fluid phantoms using optical coherence tomography and envelope statistics

Cited by 7 publications

References 9 publications

Assessment of corneal properties based on statistical modeling of OCT speckle

Assessment of corneal properties based on statistical modeling of OCT speckle

Feasibility study: protein denaturation and coagulation monitoring with speckle variance optical coherence tomography

The use of optical coherence tomography envelope statistics to quantify local temperature changes in tissue-mimicking phantoms

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