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Proceedings Paper

Characterization Of Mammographic Parenchymal Pattern By Fractal Dimension
Author(s): Curtis B. Caldwell; Sandra J. Stapleton; David W. Holdsworth; Roberta Jong; William Weiser; Gabriel Cooke; Martin J. Yaffe
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Paper Abstract

Mammographic parenchymal pattern has been associated with risk of developing breast cancer. Currently, these patterns are classified subjectively by radiologists according to "Wolfe grade", as N, P1, P2, or DY. Such broad classifications have limited applicability for the assessment of subtle changes which may occur, for example, in long term studies of women at high risk for breast cancer. For such work, a consistent, quantitative, observer-independent method of characterization is required. We have been developing such a method based on the use of "fractals". We have applied techniques of calculating fractal dimension to digitized mammograms. To evaluate our technique, we are measuring the degree of correlation between the fractal classification of images and their mammographic patterns as assessed by radiologists. Preliminary results have shown significant correlation between the fractal-based and radiologist-based assessments.

Paper Details

Date Published: 25 May 1989
PDF: 7 pages
Proc. SPIE 1092, Medical Imaging III: Image Processing, (25 May 1989); doi: 10.1117/12.953239
Show Author Affiliations
Curtis B. Caldwell, University of Toronto (Canada)
Sandra J. Stapleton, University of Toronto (Canada)
David W. Holdsworth, University of Toronto (Canada)
Roberta Jong, Mount Sinai Hospital (Canada)
William Weiser, St. Michael's Hospital (Canada)
Gabriel Cooke, St. Michael's Hospital (Canada)
Martin J. Yaffe, University of Toronto (Canada)


Published in SPIE Proceedings Vol. 1092:
Medical Imaging III: Image Processing
Samuel J. Dwyer; R. Gilbert Jost; Roger H. Schneider, Editor(s)

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