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Proceedings Paper

Computerized analysis of mammographic parenchymal patterns using fractal analysis
Author(s): Hui Li; Maryellen Lissak Giger; Zhimin Huo; Olufunmilayo I. Olopade; Michael R. Chinander; Li Lan; Ioana R. Bonta
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Paper Abstract

Mammographic parenchymal patterns have been shown to be associated with breast cancer risk. Fractal-based texture analyses, including box-counting methods and Minkowski dimension, were performed within parenchymal regions of normal mammograms of BRCA1/BRCA2 gene mutation carriers and within those of women at low risk for developing breast cancer. Receiver Operating Characteristic (ROC) analysis was used to assess the performance of the computerized radiographic markers in the task of distinguishing between high and low-risk subjects. A multifractal phenomenon was observed with the fractal analyses. The high frequency component of fractal dimension from the conventional box-counting technique yielded an Az value of 0.84 in differentiating between two groups, while using the LDA to estimate the fractal dimension yielded an Az value of 0.91 for the high frequency component. An Az value of 0.82 was obtained with fractal dimensions extracted using the Minkowski algorithm.

Paper Details

Date Published: 15 May 2003
PDF: 4 pages
Proc. SPIE 5032, Medical Imaging 2003: Image Processing, (15 May 2003); doi: 10.1117/12.481359
Show Author Affiliations
Hui Li, Univ. of Chicago (United States)
Maryellen Lissak Giger, Univ. of Chicago (United States)
Zhimin Huo, Univ. of Chicago (United States)
Olufunmilayo I. Olopade, Univ. of Chicago (United States)
Michael R. Chinander, Univ. of Chicago (United States)
Li Lan, Univ. of Chicago (United States)
Ioana R. Bonta, Univ. of Chicago (United States)


Published in SPIE Proceedings Vol. 5032:
Medical Imaging 2003: Image Processing
Milan Sonka; J. Michael Fitzpatrick, Editor(s)

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