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Proceedings Paper

Application and evaluation of a motion compensation technique to breast MRI
Author(s): Frank Steinbrücker; Anke Meyer-Bäse; Axel Wismüller; Thomas Schlossbauer
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Paper Abstract

Motion induced artifacts represent a major problem in detection and diagnosis of breast cancer in dynamic contrast-enhanced magnetic resonance imaging. The goal of this paper is to evaluate the performance of a new motion correction algorithm based on different feature extraction techniques and subsequent classification techniques. Based on several simulation results, we determined the optimal motion compensation parameters, the optimal feature number and tested different classification techniques. Our results have shown that motion compensation can improve in some cases classification results.

Paper Details

Date Published: 29 April 2009
PDF: 8 pages
Proc. SPIE 7347, Evolutionary and Bio-Inspired Computation: Theory and Applications III, 73470J (29 April 2009); doi: 10.1117/12.818559
Show Author Affiliations
Frank Steinbrücker, Univ. of Bonn (Germany)
Anke Meyer-Bäse, Florida State Univ. (United States)
Axel Wismüller, Univ. of Rochester (United States)
Thomas Schlossbauer, Univ. of Munich (Germany)

Published in SPIE Proceedings Vol. 7347:
Evolutionary and Bio-Inspired Computation: Theory and Applications III
Teresa H. O'Donnell; Misty Blowers; Kevin L. Priddy, Editor(s)

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