Share Email Print

Proceedings Paper

Computerized mass detection in whole breast ultrasound images: reduction of false positives using bilateral subtraction technique
Author(s): Yuji Ikedo; Daisuke Fukuoka; Takeshi Hara; Hiroshi Fujita; Etsuo Takada; Tokiko Endo; Takako Morita
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

The comparison of left and right mammograms is a common technique used by radiologists for the detection and diagnosis of masses. In mammography, computer-aided detection (CAD) schemes using bilateral subtraction technique have been reported. However, in breast ultrasonography, there are no reports on CAD schemes using comparison of left and right breasts. In this study, we propose a scheme of false positive reduction based on bilateral subtraction technique in whole breast ultrasound images. Mass candidate regions are detected by using the information of edge directions. Bilateral breast images are registered with reference to the nipple positions and skin lines. A false positive region is detected based on a comparison of the average gray values of a mass candidate region and a region with the same position and same size as the candidate region in the contralateral breast. In evaluating the effectiveness of the false positive reduction method, three normal and three abnormal bilateral pairs of whole breast images were employed. These abnormal breasts included six masses larger than 5 mm in diameter. The sensitivity was 83% (5/6) with 13.8 (165/12) false positives per breast before applying the proposed reduction method. By applying the method, false positives were reduced to 4.5 (54/12) per breast without removing a true positive region. This preliminary study indicates that the bilateral subtraction technique is effective for improving the performance of a CAD scheme in whole breast ultrasound images.

Paper Details

Date Published: 5 April 2007
PDF: 10 pages
Proc. SPIE 6514, Medical Imaging 2007: Computer-Aided Diagnosis, 65141T (5 April 2007); doi: 10.1117/12.709225
Show Author Affiliations
Yuji Ikedo, Graduate School of Medicine, Gifu Univ. (Japan)
Daisuke Fukuoka, Gifu Univ. (Japan)
Takeshi Hara, Graduate School of Medicine, Gifu Univ. (Japan)
Hiroshi Fujita, Graduate School of Medicine, Gifu Univ. (Japan)
Etsuo Takada, Dokkyo Medical Univ. (Japan)
Tokiko Endo, National Hospital Organization Nagoya Medical Ctr. (Japan)
Takako Morita, Chunichi Hospital (Japan)

Published in SPIE Proceedings Vol. 6514:
Medical Imaging 2007: Computer-Aided Diagnosis
Maryellen L. Giger; Nico Karssemeijer, Editor(s)

© SPIE. Terms of Use
Back to Top