Acquisition Techniques for Motion Correction
Onur Afacan1
1Boston Children's Hospital and Harvard Medical School, United States

Synopsis

This lecture will highlight how the information from external motion sensors and sequence based navigators can be integrated into the MRI acquisition to detect and correct for motion artifacts. We will discuss how motion information can be used to evaluate image quality and improve clinical workflow. We will also discuss how the motion information can be used retrospectively to correct for motion artifacts or prospectively steer the FOV in real-time, suspend data acquisition or reacquire datasets. Finally we will review hardware and software methods to correct for secondary effects of motion such as B0 and B1 field inhomogeneities.

This lecture will highlight how the information from external motion sensors and sequence based navigators can be integrated into the MRI acquisition to detect and correct for motion artifacts. We will discuss how motion information can be used to evaluate image quality and improve clinical workflow. We will also discuss how the motion information can be used retrospectively to correct for motion artifacts or prospectively steer the FOV in real-time, suspend data acquisition or reacquire datasets. Finally we will review hardware and software methods to correct for secondary effects of motion such as B0 and B1 field inhomogeneities.

Acknowledgements

No acknowledgement found.

References

No reference found.
Proc. Intl. Soc. Mag. Reson. Med. 30 (2022)