Speckle modelization in OCT images for skin layers segmentation

Ali Mcheik; Clovis Tauber; Hadj Batatia; Jerome George; Jean Michel Lagarde

doi:10.5220/0001086603470350

Speckle modelization in OCT images for skin layers segmentation

Ali Mcheik^*, Clovis Tauber, Hadj Batatia, Jerome George, Jean Michel Lagarde

^*Corresponding author for this work

School of Mathematical & Computer Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

11 Citations (Scopus)

Abstract

In dermatology, the optical coherence tomography (OCT) is used to visualize the skin over a few millimetre depth. These images are affected by speckle, which can alter the interpretation, but which also carry information that characterizes locally the visualized tissue. In this paper, we present a statistical study of the speckle distribution in OCT images. The capability of three probability density functions (pdf) (Rayleigh, Lognormal, and Nakagami) to differentiate the speckle distribution according to the skin layer is analysed. For each pdf, the vector of parameters, estimated over several images which are annotated by experts, are mapped onto a parameter space. Quantitative results over 30 images are compared to the manual delineations of 5 experts. Results confirm the potential of the method for the segmentation of the layers of the skin.

Original language	English
Title of host publication	3rd International Conference on Computer Vision Theory and Applications
Publisher	SciTePress
Pages	347-350
Number of pages	4
Volume	1
ISBN (Print)	9789898111210
DOIs	https://doi.org/10.5220/0001086603470350
Publication status	Published - 2008
Event	3rd International Conference on Computer Vision Theory and Applications 2008 - Funchal, Madeira, Portugal Duration: 22 Jan 2008 → 25 Jan 2008

Conference

Conference	3rd International Conference on Computer Vision Theory and Applications 2008
Abbreviated title	VISAPP 2008
Country/Territory	Portugal
City	Funchal, Madeira
Period	22/01/08 → 25/01/08

Keywords

Medical image analysis
Optical coherence tomography
Segmentation and grouping
Statistical approach

ASJC Scopus subject areas

Computer Science Applications
Computer Vision and Pattern Recognition

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10.5220/0001086603470350Licence: CC BY-NC-ND

Cite this

@inproceedings{3b94b88d23ff49aa82f0b00d13d00b49,

title = "Speckle modelization in OCT images for skin layers segmentation",

abstract = "In dermatology, the optical coherence tomography (OCT) is used to visualize the skin over a few millimetre depth. These images are affected by speckle, which can alter the interpretation, but which also carry information that characterizes locally the visualized tissue. In this paper, we present a statistical study of the speckle distribution in OCT images. The capability of three probability density functions (pdf) (Rayleigh, Lognormal, and Nakagami) to differentiate the speckle distribution according to the skin layer is analysed. For each pdf, the vector of parameters, estimated over several images which are annotated by experts, are mapped onto a parameter space. Quantitative results over 30 images are compared to the manual delineations of 5 experts. Results confirm the potential of the method for the segmentation of the layers of the skin.",

keywords = "Medical image analysis, Optical coherence tomography, Segmentation and grouping, Statistical approach",

author = "Ali Mcheik and Clovis Tauber and Hadj Batatia and Jerome George and Lagarde, {Jean Michel}",

year = "2008",

doi = "10.5220/0001086603470350",

language = "English",

isbn = "9789898111210",

volume = "1",

pages = "347--350",

booktitle = "3rd International Conference on Computer Vision Theory and Applications",

publisher = "SciTePress",

note = "3rd International Conference on Computer Vision Theory and Applications 2008, VISAPP 2008 ; Conference date: 22-01-2008 Through 25-01-2008",

}

Mcheik, A, Tauber, C, Batatia, H, George, J & Lagarde, JM 2008, Speckle modelization in OCT images for skin layers segmentation. in 3rd International Conference on Computer Vision Theory and Applications. vol. 1, SciTePress, pp. 347-350, 3rd International Conference on Computer Vision Theory and Applications 2008, Funchal, Madeira, Portugal, 22/01/08. https://doi.org/10.5220/0001086603470350

TY - GEN

T1 - Speckle modelization in OCT images for skin layers segmentation

AU - Mcheik, Ali

AU - Tauber, Clovis

AU - Batatia, Hadj

AU - George, Jerome

AU - Lagarde, Jean Michel

PY - 2008

Y1 - 2008

N2 - In dermatology, the optical coherence tomography (OCT) is used to visualize the skin over a few millimetre depth. These images are affected by speckle, which can alter the interpretation, but which also carry information that characterizes locally the visualized tissue. In this paper, we present a statistical study of the speckle distribution in OCT images. The capability of three probability density functions (pdf) (Rayleigh, Lognormal, and Nakagami) to differentiate the speckle distribution according to the skin layer is analysed. For each pdf, the vector of parameters, estimated over several images which are annotated by experts, are mapped onto a parameter space. Quantitative results over 30 images are compared to the manual delineations of 5 experts. Results confirm the potential of the method for the segmentation of the layers of the skin.

AB - In dermatology, the optical coherence tomography (OCT) is used to visualize the skin over a few millimetre depth. These images are affected by speckle, which can alter the interpretation, but which also carry information that characterizes locally the visualized tissue. In this paper, we present a statistical study of the speckle distribution in OCT images. The capability of three probability density functions (pdf) (Rayleigh, Lognormal, and Nakagami) to differentiate the speckle distribution according to the skin layer is analysed. For each pdf, the vector of parameters, estimated over several images which are annotated by experts, are mapped onto a parameter space. Quantitative results over 30 images are compared to the manual delineations of 5 experts. Results confirm the potential of the method for the segmentation of the layers of the skin.

KW - Medical image analysis

KW - Optical coherence tomography

KW - Segmentation and grouping

KW - Statistical approach

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U2 - 10.5220/0001086603470350

DO - 10.5220/0001086603470350

M3 - Conference contribution

AN - SCOPUS:57349112338

SN - 9789898111210

VL - 1

SP - 347

EP - 350

BT - 3rd International Conference on Computer Vision Theory and Applications

PB - SciTePress

T2 - 3rd International Conference on Computer Vision Theory and Applications 2008

Y2 - 22 January 2008 through 25 January 2008

ER -

Speckle modelization in OCT images for skin layers segmentation

Abstract

Conference

Keywords

ASJC Scopus subject areas

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