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Proceedings Paper

Development of an automated detection system for microcalcifications on mammograms by using the higher-order autocorrelation features
Author(s): Yoshitaka Ohe; Norimitsu Shinohara; Takeshi Hara; Hiroshi Fujita; Tokiko Endo; Takuji Iwase
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Paper Abstract

The purpose of this work is to develop a new pattern recognition method using the higher-order autocorrelation features (HOAFs), and to apply this to our microcalcification detection system on mammographic images. Microcalcification is a typical sign of breast cancer and tends to show up as very subtle shadows. We developed a triple-ring filter for detecting microcalcifications, and the prototype detection system is nearly complete. However, our prototype system does not allow for the detection of three types of microcalcifications, two of which are amorphous and linear microcalcifications and the third is obscured microcalcifications which is often confused with the background or circumference that have almost the same density. We targeted the amorphous type of microcalcification, which has a low contrast and easily goes undetected. The various features of microcalcifications and false-positive (FP) shadows were extracted and trained using the multi-regression analysis, and unknown images were recognized as a result of this training. As a result, amorphous microcalcifications were successfully detected with no increase in the number of FPs compared with our existing detection method.

Paper Details

Date Published: 12 May 2004
PDF: 8 pages
Proc. SPIE 5370, Medical Imaging 2004: Image Processing, (12 May 2004); doi: 10.1117/12.536847
Show Author Affiliations
Yoshitaka Ohe, Gifu Univ. Graduate School of Medicine (Japan)
Norimitsu Shinohara, Gifu Univ. Graduate School of Medicine (Japan)
Takeshi Hara, Gifu Univ. Graduate School of Medicine (Japan)
Hiroshi Fujita, Gifu Univ. Graduate School of Medicine (Japan)
Tokiko Endo, National Hospital of Nagoya (Japan)
Takuji Iwase, Cancer Institute Hospital (Japan)

Published in SPIE Proceedings Vol. 5370:
Medical Imaging 2004: Image Processing
J. Michael Fitzpatrick; Milan Sonka, Editor(s)

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