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Updated: Jun 1, 2026

Movement Retraining using Real-time Feedback of Performance
Published on: January 17, 2013
Combined prospective and retrospective motion correction to relax navigator requirements
Julian Maclaren1, Kuan J Lee, Chaiya Luengviriya
1Department of Radiology, Medical Physics, University Medical Center, Freiburg, Freiburg, Germany. julian.maclaren@uniklinik-freiburg.de
Abstract:
Prospective motion correction can prevent motion artifacts in magnetic resonance imaging of the brain. However, for high-resolution imaging, the technique relies on precise tracking of head motion. This precision is often limited by tracking noise, which leads to residual errors in the prospectively-corrected k-space data and artifacts in the image. This work shows that it is possible to estimate these tracking errors, and hence the true k-space sample locations, by applying a two-sided filter to the tracking data after imaging. A conjugate gradient reconstruction is compared to gridding as a means of using this information to retrospectively correct for the effects of the residual errors.
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