Mammographic Lesions Discrimination Based on Fractal Dimension as an Indicator

In this paper it is investigated how fractal properties can be used to characterize a mammographic lesion. The idea is suggested by the similarity between the breast tissue and a synthetically generated fractal image. Fractals are pertinent tools to describe the complexity of a shape; meanwhile, rad...

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Bibliographic Details
Published in2007 IWSSIP & EC-SIPMCS : proceedings of 2007 14th International Workshop on Systems, Signals & Image Processing (IWSSIP) & EURASIP Conference Focused on Speech & Image Processing, Multimedia Communications & Services (EC-SIPMCS) pp. 74 - 77
Main Authors Crisan, Daniela Alexandra, Dobrescu, Radu, Planinsi, Peter
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2007
Subjects
Biomedical imaging
box-counting algorithm
Breast cancer
Breast tissue
CADM
Extraterrestrial measurements
fractal
fractal dimension
Fractals
Image processing
Lesions
Medical diagnostic imaging
Shape
Size measurement
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ISBN9789612480363
9612480362
DOI10.1109/IWSSIP.2007.4381156

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Summary:In this paper it is investigated how fractal properties can be used to characterize a mammographic lesion. The idea is suggested by the similarity between the breast tissue and a synthetically generated fractal image. Fractals are pertinent tools to describe the complexity of a shape; meanwhile, radiologists use the complexity of the lesion's contour to classify the abnormality. Tests on 30 cases mammographic lesions shows that fractal dimension of the lesion's contour is higher in cancer cases and lower in benign cases. This could be an important observation in order to classify BI-RADS 4 lesions, with no need of further examination (biopsy).
ISBN:9789612480363
9612480362
DOI:10.1109/IWSSIP.2007.4381156