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Abstract #2695

Myoelectric Triggered Diffusion-Weighted Imaging for Muscle Contraction Analysis

Martin Schwartz1,2, Petros Martirosian1, G√ľnter Steidle1, Michael Erb3, Bin Yang2, and Fritz Schick1
1Section on Experimental Radiology, University Hospital of Tuebingen, Tuebingen, Germany, 2Institute of Signal Processing and System Theory, University of Stuttgart, Stuttgart, Germany, 3Biomedical Magnetic Resonance, University Hospital of Tuebingen, Tuebingen, Germany

Retrospective measurements of muscular contraction in diffusion-weighted imaging are inherently asynchronous leading to an unknown time point of acquisition during the muscular motion. Therefore, prospective imaging is investigated based on surface electromyography signals derived during the measurement. Fast and more robust real-time activity detection is achieved by a neural network. Imaging during active muscular contraction can be prevented by analysis of the muscular state; however, sampling at different time points of the muscular contractions is also possible.

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