Study of variation of attenuation coefficient in different skin color and age groups using optical coherence tomography

Xu, Qiuyun; May, Julia; Smith, Josee; Fakhoury, Joseph W.; Daveluy, Steven; Chen, Wei; Avanaki, Kamran

doi:10.1117/12.2613007

Cited by 3 publications

(3 citation statements)

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“…39,59 Optical imaging modalities, such as RCM and OCT, have shown the ability to differentiate tissue microstructures; however, they have limited penetration depth due to the scattering of light in tissue, [60][61][62] even with performing enhancement postprocessing algorithms. 18,20,[63][64][65][66][67][68][69][70][71][72][73][74][75][76][77][78][79] US imaging provides improved penetration depth 80 but has limited ability to differentiate between skin conditions. 81 PAI can be classified by axial resolution of generated images into PA macroscopy, mesoscopy, and microscopy.…”

Section: Introductionmentioning

confidence: 99%

“…Optical imaging modalities, such as RCM and OCT, have shown the ability to differentiate tissue microstructures; however, they have limited penetration depth due to the scattering of light in tissue, 60 – 62 even with performing enhancement postprocessing algorithms 18 , 20 , 63 – 79 US imaging provides improved penetration depth 80 but has limited ability to differentiate between skin conditions 81 …”

Section: Introductionmentioning

confidence: 99%

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Photoacoustic imaging for cutaneous melanoma assessment: a comprehensive review

Fakhoury,

Lara,

Manwar

et al. 2024

J. Biomed. Opt.

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Significance: Cutaneous melanoma (CM) has a high morbidity and mortality rate, but it can be cured if the primary lesion is detected and treated at an early stage. Imaging techniques such as photoacoustic (PA) imaging (PAI) have been studied and implemented to aid in the detection and diagnosis of CM.Aim: Provide an overview of different PAI systems and applications for the study of CM, including the determination of tumor depth/thickness, cancer-related angiogenesis, metastases to lymph nodes, circulating tumor cells (CTCs), virtual histology, and studies using exogenous contrast agents.Approach: A systematic review and classification of different PAI configurations was conducted based on their specific applications for melanoma detection. This review encompasses animal and preclinical studies, offering insights into the future potential of PAI in melanoma diagnosis in the clinic.Results: PAI holds great clinical potential as a noninvasive technique for melanoma detection and disease management. PA microscopy has predominantly been used to image and study angiogenesis surrounding tumors and provide information on tumor characteristics. Additionally, PA tomography, with its increased penetration depth, has demonstrated its ability to assess melanoma thickness. Both modalities have shown promise in detecting metastases to lymph nodes and CTCs, and an alloptical implementation has been developed to perform virtual histology analyses. Animal and human studies have successfully shown the capability of PAI to detect, visualize, classify, and stage CM.Conclusions: PAI is a promising technique for assessing the status of the skin without a surgical procedure. The capability of the modality to image microvasculature, visualize tumor boundaries, detect metastases in lymph nodes, perform fast and label-free histology, and identify CTCs could aid in the early diagnosis and classification of CM, including determination of metastatic status. In addition, it could be useful for monitoring treatment efficacy noninvasively.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Photoacoustic imaging for cutaneous melanoma assessment: a comprehensive review

Fakhoury,

Lara,

Manwar

et al. 2024

J. Biomed. Opt.

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“…Tissue AC, a critical quantitative parameter, depends on scattering and absorption factors [4,5]. Previous research has investigated the relationship between AC and skin tone and age [6]. In this paper, we have conducted an in-depth analysis of AC in both artificial skin phantoms and in vivo skin samples.…”

Section: Introductionmentioning

confidence: 99%

Analysis of attenuation coefficient and polarization-based contrasts in skin using polarization-sensitive optical coherence tomography

Mirsalehi,

Maloufi,

Zhou

et al. 2024

Photonics in Dermatology and Plastic Surgery 2024

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Polarization-Sensitive Optical Coherence Tomography (PS-OCT) is a real-time 3D imaging technique providing structural and functional contrasts in tissue. Previously, we have quantified multiple contrasts such as back-scattered intensity, accumulated phase retardation, local birefringence, and degree of polarization uniformity in the epidermis and dermis of the skin. Here, we add the Attenuation Coefficient (AC) contrast to quantify light attenuation from absorption and scattering in skin layers. Two techniques are utilized to obtain AC. One involves slope fitting to the logarithm of intensity A-lines, and the other uses a depth-resolved model-based reconstruction of AC. To investigate the effect of skin tone on AC, we first used skin phantoms with various absorption and scattering coefficients. It is found that the color of the phantom directly correlates with the absorption coefficient, while AC correlates with the sum of the absorption and reduced scattering coefficient. Darker objects, indicative of a higher concentration of melanin in the skin tissue, show a higher absorption coefficient. AC is further analyzed on in vivo skin imaging with different skin tones. However, no clear correlation between AC and skin tone is observed. This lack of correlation is likely due to the absorption coefficient being much smaller than the scattering coefficient in skin tissue at the OCT imaging wavelength of 1060 nm.

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Skin Imaging Using Optical Coherence Tomography and Photoacoustic Imaging: A Mini-Review

Zafar,

Siegel,

Avanaki

et al. 2024

Optics

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This article provides an overview of the progress made in skin imaging using two emerging imaging modalities, optical coherence tomography (OCT) and photoacoustic imaging (PAI). Over recent years, these technologies have significantly advanced our understanding of skin structure and function, offering non-invasive and high-resolution insights previously unattainable. The review begins by briefly describing the fundamental principles of how OCT and PAI capture images. It then explores the evolving applications of OCT in dermatology, ranging from diagnosing skin disorders to monitoring treatment responses. This article continues by briefly describing the capabilities of PAI imaging, and how PAI has been used for melanoma and non-melanoma skin cancer detection and characterization, vascular imaging, and more. The third section describes the development of multimodal skin imaging systems that include OCT, PAI, or both modes. A comparative analysis between OCT and PAI is presented, elucidating their respective strengths, limitations, and synergies in the context of skin imaging.

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Study of variation of attenuation coefficient in different skin color and age groups using optical coherence tomography

Cited by 3 publications

References 0 publications

Photoacoustic imaging for cutaneous melanoma assessment: a comprehensive review

Photoacoustic imaging for cutaneous melanoma assessment: a comprehensive review

Analysis of attenuation coefficient and polarization-based contrasts in skin using polarization-sensitive optical coherence tomography

Skin Imaging Using Optical Coherence Tomography and Photoacoustic Imaging: A Mini-Review

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