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Abstract #1019

Three-dimensional rigid head motion correction using the Beat Pilot Tone and Gaussian Processes

Niek R.F. Huttinga1, Suma Anand2, Cornelis A.T. van den Berg1, Alessandro Sbrizzi1, and Michael Lustig2
1Computational Imaging Group for MR therapy & Diagnostics, Department of radiotherapy, University Medical Center Utrecht, Utrecht, Netherlands, 2Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, United States

Synopsis

Keywords: Motion Correction, Motion Correction, Brain; Pilot Tone; Surrogate SignalsIn this work we propose a framework based on Gaussian Processes to extract quantitative motion information from Beat Pilot Tones and subsequently correct rigid head motion in 2D and 3D. In a calibration phase, low-resolution images are acquired and registered to build a training set. Next, Gaussian Processes are trained to infer rigid parameters from multi-channel BPTs, exploiting automatic relevance determination of input channels. In the inference phase, rigid parameters are inferred per readout from the BPT, and high-resolution scans are corrected for motion. In practice the method could reduce the need for anesthetics and/or re-scans in e.g. pediatric patients.

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Keywords