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Abstract #1180

Prospective 3D+t non-rigid motion estimation at high frame-rate from highly undersampled k-space data: validation and preliminary in-vivo results

Niek R.F. Huttinga1,2, Tom Bruijnen1,2, Cornelis A.T. van den Berg1,2, Peter R. Luijten1,2, and Alessandro Sbrizzi1,2

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

We previously presented a framework to reconstruct 3D non-rigid motion-fields from highly undersampled k-space data by exploiting the lower-dimensional nature of motion-fields. Here, a quantitative comparison with a well-established image-based motion estimation is performed on 3D abdomen images. To also exploit temporal compressibility the framework is extended to reconstructions of spatio-temporal non-rigid motion-fields at high frame-rate, and validation is performed on 2D+t abdomen cine-acquisitions. Additionally, a dedicated non-Cartesian 3D trajectory was employed to prospectively acquire highly undersampled k-space data, and reconstruct 3D+t head motion at 16Hz. High quality respiratory/head motion-fields are obtained and the framework outperforms the fully-sampled image-based motion estimation even for undersampling up to 8x.

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