DMCA
A 3D visualization system for computer-aided mammogram analysis (2004)
| Citations: | 2 - 0 self |
BibTeX
@MISC{Kurdziel04a3d,
author = {Marcin Kurdziel and Tadeusz Popiela and Erik O. D. Sevre and David A. Yuen},
title = {A 3D visualization system for computer-aided mammogram analysis},
year = {2004}
}
Share
 |
 |
 |
 |
||
OpenURL
Abstract
Abstract. The most frequent symptoms of ductal carcinoma recognized by mammography are clusters of microcalcifications. Their detection from mammograms is difficult, especially for glandular breasts. We present a new system for computer-aided diagnosis of breast carcinoma, from digital mammograms. The images are processed in several steps. First, we filter the original picture with a filter that is sensitive to microcalcification contrast shape. Then we enhance the mammogram contrast by using wavelet-based sharpening algorithm. We present to radiologist for visual analysis, such a contrast-enhanced mammogram, with the suggested positions of microcalcification clusters. Finally, the radiologist, makes a more sophisticated diagnosis based on 3D visualization environment. We have evaluated the usefulness of this system with the help of four experienced radiologists, who found that this approach produces a significant improvement in the diagnosis. 1
Keyphrases
computer-aided mammogram analysis visualization system wavelet-based sharpening algorithm digital mammogram breast carcinoma frequent symptom significant improvement computer-aided diagnosis experienced radiologist suggested position contrast-enhanced mammogram new system visualization environment original picture sophisticated diagnosis visual analysis contrast shape glandular breast mammogram contrast ductal carcinoma several step microcalcification cluster
