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Abstract #4091

A dynamic MR-signal model to capture 3D motion-fields at ultra-high frame-rate

Niek R.F. Huttinga1,2, Cornelis A.T. van den Berg1,2, Peter R. Luijten1,2, and Alessandro Sbrizzi1,2

1Centre for image sciences, University Medical Centre Utrecht, Utrecht, Netherlands, 2Utrecht University, Utrecht, Netherlands

We present a framework that has the potential to capture non-rigid 3D motion at 50 Hz, hereby drastically accelerating state-of-the-art techniques. Our model directly and explicitly relates the motion-field to the k-space data and is independent of the spatial resolution, allowing for extremely high under-sampling. We illustrate proof-of-principle validations of our method through a simulation test and whole-brain 3D in-vivo measured data. Results show that the 3D motion-fields can be reconstructed from extremely under-sampled k-space data consisting of as little as 64 points, enabling 3D motion estimation at unprecedented frame-rates.

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