Power spectral analysis of mammographic parenchymal patterns

Hui Li; Maryellen L. Giger; Olufunmilayo I. Olopade

doi:10.1117/12.654188

16 March 2006 Power spectral analysis of mammographic parenchymal patterns

Hui Li, Maryellen L. Giger, Olufunmilayo I. Olopade

Proceedings Volume 6144, Medical Imaging 2006: Image Processing; 61445J (2006) https://doi.org/10.1117/12.654188
Event: Medical Imaging, 2006, San Diego, California, United States

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/f^β 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/f^β 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. A_z 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.

Citation Download Citation

Hui Li, Maryellen L. Giger, and Olufunmilayo I. Olopade "Power spectral analysis of mammographic parenchymal patterns", Proc. SPIE 6144, Medical Imaging 2006: Image Processing, 61445J (16 March 2006); https://doi.org/10.1117/12.654188

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