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Abstract #3308

Implementation and characterization of MIMO RF navigators towards robust TR-by-TR head motion sensing

Philippa R. P. Krahn1, Suma Anand1, and Michael Lustig1
1University of California, Berkeley, Berkeley, CA, United States

Synopsis

Keywords: Hybrid & Novel Systems Technology, Motion Correction, Motion sensing, RF, Pilot Tone, Beat Pilot Tone

Motivation: Motion is among the most common sources of artifacts in MRI. RF navigators address this challenge by providing a powerful and sensitive method for contact-free motion sensing.

Goal(s): This work seeks to evaluate the motion sensitivity of RF navigators towards optimizing their use for head motion sensing.

Approach: In this work we characterize a multi-input multi-output system for head motion sensing using pilot tone and beat pilot tone.

Results: The frequency-sensitivity of beat pilot tone was evaluated and an optimal transmission frequency was identified for head motion sensing. The impact of artifacts due to vibration is investigate

Impact: We present and characterize the first system for multiple-input multiple-output (MIMO) RF motion sensing with BPT and PT, aimed toward head motion sensing and correction at arbitrary frequencies, and simultaneous to the MRI exam.

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