Analysis of false-positive microcalcification clusters identified by a mammographic computer-aided detection scheme

Robert M. Nishikawa; Carl J. Vyborny; Maryellen Lissak Giger; Kunio Doi

doi:10.1117/12.175115

11 May 1994 Analysis of false-positive microcalcification clusters identified by a mammographic computer-aided detection scheme

Robert M. Nishikawa, Carl J. Vyborny, Maryellen Lissak Giger, Kunio Doi

Author Affiliations +

Proceedings Volume 2167, Medical Imaging 1994: Image Processing; (1994) https://doi.org/10.1117/12.175115
Event: Medical Imaging 1994, 1994, Newport Beach, CA, United States

Abstract

The accuracy of computer-aided detection (CAD) schemes involves a tradeoff between high sensitivity and low false-positive rate. In an on-going study, we are analyzing our CAD scheme for the detection of clustered microcalcifications in digital mammograms to determine the causes of false-negative and false-positive clusters. Two different limitations that lead to false-negatives and false-positives have been identified. The first limitation is imposed by the quality of the digital mammogram, whereas the second is a consequence of the similarities of radiographic features between true and false clusters. In this paper, we examine the effects of image quality, particularly image noise, on the performance of our CAD scheme. Preliminary results indicate that the performance of our scheme is limited by anatomic noise and x-ray quantum noise. Almost all the false positives detected in clinical images by our CAD scheme are caused by a combination of these two forms of noise.

Citation Download Citation

Robert M. Nishikawa, Carl J. Vyborny, Maryellen Lissak Giger, and Kunio Doi "Analysis of false-positive microcalcification clusters identified by a mammographic computer-aided detection scheme", Proc. SPIE 2167, Medical Imaging 1994: Image Processing, (11 May 1994); https://doi.org/10.1117/12.175115

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