A pilot study of architectural distortion detection in mammograms based on characteristics of line shadows |
| |
Authors: | Mitsutaka Nemoto Soshi Honmura Akinobu Shimizu Daisuke Furukawa Hidefumi Kobatake Shigeru Nawano |
| |
Institution: | (1) Department of Radiology, The University of Tokyo Hospital, 7-3-1 Hongo Bunkyo-ku, Tokyo, Japan;(2) Tokyo University of Agriculture and Technology, 2-24-16 Naka-cho, Koganei, Tokyo, Japan;(3) Department of Radiology, International University of Health and Welfare Mita Hospital, 1-4-3 Mita, Minato-ku, Tokyo, Japan |
| |
Abstract: | Objective We present herein a novel algorithm for architectural distortion detection that utilizes the point convergence index with
the likelihood of lines (e.g., spiculations) relating to architectural distortion.
Materials and methods Validation was performed using 25 computed radiography (CR) mammograms, each of which has an architectural distortion with
radiating spiculations. The proposed method comprises five steps. First, the lines were extracted on mammograms, such as spiculations
of architectural distortion as well as lines in the mammary gland. Second, the likelihood of spiculation for each extracted
line was calculated. In the third step, point convergence index weighted by this likelihood was evaluated at each pixel to
enhance distortion only. Fourth, local maxima of the index were extracted as candidates for the distortion, then classified
based on nine features in the last step.
Results Point convergence index without the proposed likelihood generated 84.48/image false-positives (FPs) on average. Conversely,
the proposed index succeeded in decreasing this number to 12.48/image on average when sensitivity was 100%. After the classification
step, number of FPs was reduced to 0.80/image with 80.0% sensitivity.
Conclusion Combination of the likelihood of lines with point convergence index is effective in extracting architectural distortion with
radiating spiculations. |
| |
Keywords: | Computer-assisted detection/diagnosis Mammograms Breast cancer Architectural distortion Point convergence index |
本文献已被 SpringerLink 等数据库收录! |
|