Application and evaluation of a motion compensation technique to breast MRI

Frank Steinbrücker; Anke Meyer-Bäse; Axel Wismüller; Thomas Schlossbauer

doi:10.1117/12.818559

29 April 2009 Application and evaluation of a motion compensation technique to breast MRI

Frank Steinbrücker, Anke Meyer-Bäse, Axel Wismüller, Thomas Schlossbauer

Proceedings Volume 7347, Evolutionary and Bio-Inspired Computation: Theory and Applications III; 73470J (2009) https://doi.org/10.1117/12.818559
Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States

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.

Citation Download Citation

Frank Steinbrücker, Anke Meyer-Bäse, Axel Wismüller, and Thomas Schlossbauer "Application and evaluation of a motion compensation technique to breast MRI", Proc. SPIE 7347, Evolutionary and Bio-Inspired Computation: Theory and Applications III, 73470J (29 April 2009); https://doi.org/10.1117/12.818559

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