Principles and Application of Optical Coherent Tomography in Dermatology

Schmitt, Anne-Marie

doi:10.1159/000118507

Cited by 17 publications

(10 citation statements)

References 8 publications

(6 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The OCT sys (Vivosight, M 15 nm. The la 10-kHz sweep depth of the s The OCT focus OCT [3 provide a tot obtained from axial scan (A positions of th [34]. The ima mm and softw resolutions of of our OCT sy…”

Section: Oct Sysmentioning

confidence: 99%

Cluster-based filtering framework for speckle reduction in OCT images

Eybposh

Turani

Mehregan

et al. 2018

Biomed. Opt. Express

View full text Add to dashboard Cite

Optical coherence tomography (OCT) has become a popular modality in the dermatology discipline due to its moderate resolution and penetration depth. OCT images, however, contain a grainy pattern called speckle. To date, a variety of filtering techniques have been introduced to reduce speckle in OCT images. However, further improvement is required to reduce edge smoothing and the deterioration of small structures in OCT images after despeckling. In this manuscript, we present a novel cluster-based speckle reduction framework (CSRF) that consists of a clustering method, followed by a despeckling method. Since edges are borders of two adjacent clusters, the proposed framework leaves the edges intact. Moreover, the multiplicative speckle noise could be modeled as additive noise in each cluster. To evaluate the performance of CSRF and demonstrate its generic nature, a clustering method, namely k-means (KM), and, two pixelwise despeckling algorithms, including Lee filter (LF) and adaptive Wiener filter (AWF), are used. The results indicate that CSRF significantly improves the performance of despeckling algorithms. These improvements are evaluated on healthy human skin images in vivo using two numerical assessment measures including signal-to-noise ratio (SNR), and structural similarity index (SSIM).

show abstract

Section: Oct Sysmentioning

confidence: 99%

Cluster-based filtering framework for speckle reduction in OCT images

Eybposh

Turani

Mehregan

et al. 2018

Biomed. Opt. Express

View full text Add to dashboard Cite

show abstract

“…The anisotropy factor [15], g, is another optical property related to the angular probability of the scattered light to that of the incident light, represented as the cosine of the averaged scattering angle. There are other optical properties that can also characterise the tissue [16]: (1) the reduced scattering coefficient, each step has an isotropic scattering [13]. Such a description is equivalent to the description of photon movement using many small steps of …”

Section: Optical Propertiesmentioning

confidence: 99%

Phantoms for performance assessment of optical coherence tomography systems

et al. 2012

View full text Add to dashboard Cite

show abstract

“…[7,15,21,23,29]. Das Gebiet der biomedizinischen Optik befindet sich in einer rasanten Entwicklungsphase.…”

Section: > Oct Eignet Sich Zur Diagnostik Und Verlaufskontrolle Von Punclassified

Optische Kohärenztomographie

Welzel

2010

Hautarzt

View full text Add to dashboard Cite

Optical coherence tomography (OCT) is a high-resolution imaging method for in vivo investigation of the human skin. In cross-sectional images of several millimeters length with a penetration depth of the light signal into deeper parts of the dermis, architectural details of the upper skin layers can be assessed and monitored non-invasively over time. The resolution is not high enough to visualize cellular details. Several studies have been performed using OCT to assess its significance as a diagnostic tool for dermatology. The actual technical configuration of OCT is suitable to assess therapeutic effects objectively and to observe skin changes over time.

show abstract

Principles and Application of Optical Coherent Tomography in Dermatology

Cited by 17 publications

References 8 publications

Cluster-based filtering framework for speckle reduction in OCT images

Cluster-based filtering framework for speckle reduction in OCT images

Phantoms for performance assessment of optical coherence tomography systems

Optische Kohärenztomographie

Contact Info

Product

Resources

About