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Proceedings Paper

Statistical fractal border features for MRI breast mass images
Author(s): Alan I. Penn; Lizann Bolinger; Murray H. Loew
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Paper Abstract

MRI has been proposed as an alternative method to mammography for detecting and staging breast cancer. Recent studies have shown that architectural features of breast masses may be useful in improving specificity. Since fractal dimension (fd) has been correlated with roughness, and border roughness is an indicator of malignancy, the fd of the mass border is a promising architectural feature for achieving improved specificity. Previous methods of estimating the fd of the mass border have been unreliable because of limited data or overlay restrictive assumptions of the fractal model. We present preliminary results of a statistical approach in which a sample space of fd estimates is generated from a family of self-affine fractal models. The fd of the mass border is then estimated from the statistics of the sample space.

Paper Details

Date Published: 24 June 1998
PDF: 12 pages
Proc. SPIE 3338, Medical Imaging 1998: Image Processing, (24 June 1998); doi: 10.1117/12.310874
Show Author Affiliations
Alan I. Penn, Alan Penn & Associates, Univ. of Pennsylvania, and George Washington Univ. (United States)
Lizann Bolinger, Univ. of Pennsylvania (United States)
Murray H. Loew, George Washington Univ. (United States)

Published in SPIE Proceedings Vol. 3338:
Medical Imaging 1998: Image Processing
Kenneth M. Hanson, Editor(s)

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