Diagnostic image analysis of malignant melanoma inin vivoconfocal laser-scanning microscopy: a preliminary study

Summary Objectives: Confocal laser scanning microscopy (CLSM) is used for quick medical checkups. The aim of this study is to check the discrimination power of texture features for the automatic identification of diagnostic significant regions in CLSM views of skin lesions. Methods: In tissue counter analysis (TCA) the images are dissected in equal square elements, where different classes of features are calculated out. Features defined in the spatial domain are based on histogram (grey level distribution) and co-occurrence matrix (grey level combinations). The features defined in the frequency domain are based on spectral properties of the wavelet Daubechie 4 transform (texture exploration at different scales) and the Fourier transform (global texture properties are localized in the spectrum). Hundred cases of benign common nevi and malignant melanoma were used as the study set. Classification was done with CART (Classification and Regression Trees) analysis which splits the set of square elements into homogenous terminal nodes and generates a set of splitting rules. Results: Features based on the wavelet transform provide the best results with 96.0% of correctly classified elements from benign common nevi and 97.0% from malignant melanoma. The classification results are relocated to the images by use of the splitting rules as diagnostic aid. The discriminated square elements are highlighted in the images, showing tissue with features in good accordance with typical diagnostic CLSM features. Conclusion: Square elements with more than 80% of discrimination power enable the identification of diagnostic highly significant parts in confocal microscopic views of malignant melanoma.

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Correlation of image analysis features and visual morphology in melanocytic skin tumours usingin vivoconfocal laser scanning microscopy

Skin Research and Technology ◽

10.1111/j.1600-0846.2009.00361.x ◽

2009 ◽

Vol 15 (2) ◽

pp. 237-241 ◽

Cited By ~ 6

Author(s):

Andrea Lorber ◽

Marco Wiltgen ◽

Rainer Hofmann-Wellenhof ◽

Silvia Koller ◽

Wolfgang Weger ◽

...

Keyword(s):

Image Analysis ◽

Laser Scanning ◽

Laser Scanning Microscopy ◽

Scanning Microscopy ◽

Skin Tumours

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Autofluorescence as a Tool for Structural Analysis of Biofilms Formed by Nonpigmented Rapidly Growing Mycobacteria

Applied and Environmental Microbiology ◽

10.1128/aem.03149-12 ◽

2012 ◽

Vol 79 (3) ◽

pp. 1065-1067 ◽

Cited By ~ 9

Author(s):

María-Carmen Muñoz-Egea ◽

María García-Pedrazuela ◽

Ignacio Mahillo ◽

María Jesús García ◽

Jaime Esteban

Keyword(s):

Image Analysis ◽

Structural Analysis ◽

Cell Viability ◽

Confocal Laser Scanning Microscopy ◽

Laser Scanning ◽

Laser Scanning Microscopy ◽

Confocal Laser Scanning ◽

Scanning Microscopy ◽

Confocal Laser ◽

Rapidly Growing Mycobacteria

ABSTRACTThe structure of biofilms formed by seven nonpigmented rapidly growing mycobacteria, including saprophytes and opportunistic species, was analyzed. Analysis included amount of covered surface, thickness, cell viability, and presence of intrinsic autofluorescence at different times using confocal laser scanning microscopy and image analysis. Autofluorescence was detected inside and outside cells of all mycobacteria.

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