Handling Motion in Real Time MRI: Motion Estimation
Alessandro Sbrizzi1
1UMC Utrecht, Netherlands

Synopsis

Keywords: Image acquisition: Fast imaging, Image acquisition: Modelling, Image acquisition: Reconstruction

In this lecture, I will sketch the main traits of real-time motion estimation in MRI. After a brief overview of the actual and envisioned applications, I will review the main techniques involved in the acquisition, reconstruction and post-processing steps. These can be subdivided in two categories, namely: indirect methods, where motion is estimated upon registration of images, and direct methods, where motion is reconstructed at once from the k-space data. Recent machine-learning solutions will be reviewed as well.

Overview

The outline of this educational lecture will be:
1) Brief applications overview of real-time MRI (imaging and motion estimation)
2) Requirements on spatial-temporal acquisition, latency,
3) 2D, 3D, hybrid approaches
4) Indirect methods to motion estimation:
  • 1st step: image reconstruction
  • 2nd step: motion estimation by registration
5) Direct motion reconstruction
6) Machine-learning approaches to real-time motion estimation

Acknowledgements

No acknowledgement found.

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Proc. Intl. Soc. Mag. Reson. Med. 31 (2023)