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Proceedings Paper

Recognition of lesion correspondence on two mammographic views: a new method of false-positive reduction for computerized mass detection
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Paper Abstract

We used the correspondence of detected structures on two views of the same breast for false-positive (FP) reduction in computerized detection of mammographic masses. For each initially detected object on one view, we considered all possible pairings with objects on the other view that fell within a radial band defined by the nipple-to-object distances. We designed a 'correspondence classifier' to classify these pairs as either the same mass (a TP-TP pair) or a mismatch (a TP-FP, FP-TP or FP-FP pair). For each pair, similarity measures of morphological and texture features were derived and used as input features in the correspondence classifier. Two-view mammograms from 94 cases were used as a preliminary data set. Initial detection provided 6.3 FPs/image at 96% sensitivity. Further FP reduction in single view resulted in 1.9 FPs/image at 80% sensitivity and 1.1 FPs/image at 70% sensitivity. By combining single-view detection with the correspondence classifier, detection accuracy improved to 1.5 FPs/image at 80% sensitivity and 0.7 FPs/image at 70% sensitivity. Our preliminary results indicate that the correspondence of geometric, morphological, and textural features of a mass on two different views provides valuable additional information for reducing FPs.

Paper Details

Date Published: 3 July 2001
PDF: 7 pages
Proc. SPIE 4322, Medical Imaging 2001: Image Processing, (3 July 2001); doi: 10.1117/12.431139
Show Author Affiliations
Berkman Sahiner, Univ. of Michigan (United States)
Nicholas Petrick, Univ. of Michigan (United States)
Heang-Ping Chan, Univ. of Michigan (United States)
Sophie Paquerault, Univ. of Michigan (United States)
Mark A. Helvie, Univ. of Michigan (United States)
Lubomir M. Hadjiiski, Univ. of Michigan (United States)


Published in SPIE Proceedings Vol. 4322:
Medical Imaging 2001: Image Processing
Milan Sonka; Kenneth M. Hanson, Editor(s)

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