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Proceedings Paper

Power spectral analysis of mammographic parenchymal patterns
Author(s): Hui Li; Maryellen L. Giger; Olufunmilayo I. Olopade
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Paper Abstract

Mammographic density and parenchymal patterns have been shown to be associated with the risk of developing breast cancer. Two groups of women: gene-mutation carriers and low-risk women were included in this study. Power spectral analysis was performed within parenchymal regions of 172 digitized craniocaudal normal mammograms of the BRCA1/BRCA2 gene-mutation carriers and those of women at low-risk of developing breast cancer. The power law spectrum of the form, P(f)=B/fβ was evaluated for the mammographic patterns. Receiver Operating Characteristic (ROC) analysis was used to assess the performance of exponent β as a decision variable in the task of distinguishing between high and low-risk subjects. Power spectral analysis of mammograms demonstrated that mammographic parenchymal patterns have a power-law spectrum of the form, P(f)=B/fβ where f is radial spatial frequency, with the average β values of 2.92 and 2.47 for the gene-mutation carriers and for the low-risk women, respectively. Az values of 0.90 and 0.89 were achieved in distinguishing between the gene-mutation carriers and the low-risk women with the individual image β value as the decision variable in the entire database and the age-matched group, respectively.

Paper Details

Date Published: 16 March 2006
PDF: 5 pages
Proc. SPIE 6144, Medical Imaging 2006: Image Processing, 61445J (16 March 2006);
Show Author Affiliations
Hui Li, The Univ. of Chicago (United States)
Maryellen L. Giger, The Univ. of Chicago (United States)
Olufunmilayo I. Olopade, The Univ. of Chicago (United States)

Published in SPIE Proceedings Vol. 6144:
Medical Imaging 2006: Image Processing
Joseph M. Reinhardt; Josien P. W. Pluim, Editor(s)

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