Share Email Print

Proceedings Paper

Improved computer-aided diagnosis for breast lesions detection in DCE-MRI based on image registration and integration of morphologic and dynamic characteristics
Author(s): Felix Retter; Claudia Plant; Bernhard Burgeth; Thomas Schlossbauer; Anke Meyer-Bäse
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Motion-based artifacts lead in breast MRI to diagnostic misinterpretation and therefore represents an important prerequisite to automatic lesion detection and diagnosis. In the present paper, we evaluate the performance of a computer-aided diagnosis (CAD) system consisting of motion correction, lesion segmentation, feature extraction and classification. Many novel feature extraction techniques are proposed and tested in conjunction with motion correction and classification. Our simulation results have shown that motion compensation combined with Minkowsi functionals and Bayesian classifier can improve the lesion detection and classification.

Paper Details

Date Published: 19 May 2011
PDF: 12 pages
Proc. SPIE 8059, Evolutionary and Bio-Inspired Computation: Theory and Applications V, 80590J (19 May 2011); doi: 10.1117/12.884625
Show Author Affiliations
Felix Retter, Univ. of Saarbrücken (Germany)
Claudia Plant, The Florida State Univ. (United States)
Bernhard Burgeth, Univ. of Saarbrücken (Germany)
Thomas Schlossbauer, Ludwig-Maximilians-Univ. München (Germany)
Anke Meyer-Bäse, The Florida State Univ. (United States)

Published in SPIE Proceedings Vol. 8059:
Evolutionary and Bio-Inspired Computation: Theory and Applications V
Misty Blowers; Teresa H. O'Donnell; Olga Lisvet Mendoza-Schrock, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?