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Proceedings Article

Application and evaluation of a motion compensation technique to breast MRI

[+] Author Affiliations
Frank Steinbrücker

Univ. of Bonn (Germany)

Anke Meyer-Bäse

Florida State Univ. (USA)

Axel Wismüller

Univ. of Rochester (USA)

Thomas Schlossbauer

Univ. of Munich (Germany)

Proc. SPIE 7347, Evolutionary and Bio-Inspired Computation: Theory and Applications III, 73470J (May 1, 2009); doi:10.1117/12.818559
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From Conference Volume 7347

  • Evolutionary and Bio-Inspired Computation: Theory and Applications III
  • Teresa H. O'Donnell; Misty Blowers; Kevin L. Priddy
  • Orlando, Florida, USA | April 13, 2009

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.

© (2009) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
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 (May 1, 2009); doi:10.1117/12.818559; http://dx.doi.org/10.1117/12.818559


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