DocumentCode :
2074797
Title :
Mammographic Lesions Discrimination Based on Fractal Dimension as an Indicator
Author :
Crisan, Daniela Alexandra ; Dobrescu, Radu ; Planinsic, Peter
Author_Institution :
Romanian-American Univ., Bucharest
fYear :
2007
fDate :
27-30 June 2007
Firstpage :
74
Lastpage :
77
Abstract :
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).
Keywords :
fractals; mammography; medical image processing; biopsy; box-counting algorithm; fractal dimension; image processing; mammographic lesions discrimination; Biomedical imaging; Breast cancer; Breast tissue; Extraterrestrial measurements; Fractals; Image processing; Lesions; Medical diagnostic imaging; Shape; Size measurement; CADM; box-counting algorithm; fractal; fractal dimension; image processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Signals and Image Processing, 2007 and 6th EURASIP Conference focused on Speech and Image Processing, Multimedia Communications and Services. 14th International Workshop on
Conference_Location :
Maribor
Print_ISBN :
978-961-248-029-5
Electronic_ISBN :
978-961-248-029-5
Type :
conf
DOI :
10.1109/IWSSIP.2007.4381156
Filename :
4381156
Link To Document :
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