Optical Clearing Agents Associated with Nanoparticles for Scanning Dental Structures with Optical Coherence Tomography

Carneiro, Vanda Sanderana Macêdo; Mota, Cláudia Cristina Brainer de Oliveira; Gomes, Anderson S. L.; Souza, Alex; Araújo, Natália; Menezes, Rebeca Ferraz de; Gerbi, Marleny Elizabeth Márquez de Martínez

doi:10.1364/cleo_at.2017.jw2a.52

Cited by 2 publications

(1 citation statement)

References 4 publications

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“…al. [35]. They utilized the effects of these materials on the sample including cell dehydration effect, the compatibility of refractive indices, and the increase of solubility of collagen.…”

Section: Selected Medical Applications Of Optical Clearingmentioning

confidence: 99%

Toward Better Medical Diagnosis: Tissue Optical Clearing

Hamdy

Abdelazeem

2020

JPHI

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Reaching efficient, safe and painless medical diagnosis procedure is a very valued goal for many research areas. Despite the great advantages of using optical imaging techniques in medical diagnosis including high safety and relative simplicity, it still suffers from relatively low resolution and penetration depth in the multiple scattering mediums such as biological tissues. Therefore, researchers began to devise ways to reduce the scattering properties of the tissue, hence increasing the imaging contrast. Optical clearing concept is introduced to do this job. This technique can reduce tissues scattering properties by using high refractive index chemicals, thus making the tissue transparent by equalizing the refractive index through that medium. In this paper, theory and techniques of optical clearing method are illustrated utilizing its benefits for deep imaging of different body tissues and organs.

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Section: Selected Medical Applications Of Optical Clearingmentioning

confidence: 99%

Toward Better Medical Diagnosis: Tissue Optical Clearing

Hamdy

Abdelazeem

2020

JPHI

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An Averaged Intensity Difference Detection Algorithm for Identification of Human Gingival Sulcus in Optical Coherence Tomography Images

et al. 2019

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In the past decade, there has been an increase in the development of sensitive, highresolution, non-invasive diagnostic methods for periodontic diseases. Optical coherence tomography (OCT) has attracted considerable attention in clinical settings. In this paper, a reliable, robust algorithm for the detection of gingival sulcus in 2D OCT cross-sectional images is proposed. Previously, the measurement of gingival sulcus in OCT images has been performed by manual identification using two-dimensional (2D) cross-sectional images. The automated detection of gingival sulcus continuity in 2D OCT images may help medical practitioners to assess important features of gingival tissues. The Sobel and canny operators have mainly been used for boundary and edge detection in OCT images. However, these algorithms are highly sensitive to noise and speckle in OCT images. To overcome these limitations, we propose an algorithm for the quantitative depth measurement of the human gingival sulcus, based on averaged intensity difference. In this paper, we utilized two commercially-available swept-source OCT systems operating at center wavelengths of 1310 and 1060 nm to image gingival sulcus of human samples in vivo. The images were processed using three algorithms: canny, Sobel, and averaged intensity difference.INDEX TERMS Biomedical optical imaging, detection algorithms, optical coherence tomography.

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Optical Clearing Agents Associated with Nanoparticles for Scanning Dental Structures with Optical Coherence Tomography

Cited by 2 publications

References 4 publications

Toward Better Medical Diagnosis: Tissue Optical Clearing

Toward Better Medical Diagnosis: Tissue Optical Clearing

An Averaged Intensity Difference Detection Algorithm for Identification of Human Gingival Sulcus in Optical Coherence Tomography Images

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