AI-based motion estimation in k-space using guidance lines enables scoutless prospective motion correction.
Motivation: Novel research reduced the acquisition of motion navigators to a few guidance lines. A prospective correction is not yet possible due to reconstruction and optimization times. Goal(s): We determine the feasibility of a fast AI-based motion estimation for prospective correction in a 3D MPRAGE research sequence. Approach: A DL network to prospectively estimate the head pose from seamlessly integrated guidance lines in a 3D MPRAGE research sequence was trained on simulated data and used for a rapid adaption of the FOV to achieve a prospective correction. Results: In-vivo experiments showed greatly reduced motion artifacts. The motion estimation is accurate and stable. Impact: Prospectively adapting the FOV using the proposed AI-based method greatly improves the image quality of 3D MPRAGE acquisitions. This unique application of ML enables promising research of prospectively mitigating motion artifacts with minimal changes to the sequence.
Authors
- Lawrence L. Wald (ORCID: https://orcid.org/0000-0001-8278-6307)
- Julian Hoßbach
- Azadeh Tabari (ORCID: https://orcid.org/0000-0002-5685-6401)
- Otto Rapalino (ORCID: https://orcid.org/0000-0002-5038-4183)
- Komal Manzoor
- John Conklin (ORCID: https://orcid.org/0000-0001-9921-2086)
- Daniel Polak (ORCID: https://orcid.org/0000-0001-9781-1528)
- Wei‐Ching Lo (ORCID: https://orcid.org/0000-0002-1893-0500)
- Jeremy W. Ford (ORCID: https://orcid.org/0000-0003-1050-9890)
- Bryan Clifford (ORCID: https://orcid.org/0000-0002-1966-0581)
- Stephen Cauley (ORCID: https://orcid.org/0000-0002-6147-6016)
- Daniel Nicolas Splitthoff
- Tobias Kober (ORCID: https://orcid.org/0000-0001-7598-9456)
- Pamela W. Schaefer (ORCID: https://orcid.org/0000-0002-4222-6134)
- Susie Y. Huang (ORCID: https://orcid.org/0000-0003-2950-7254)
- Min Lang
- Andreas Maier (ORCID: https://orcid.org/0000-0002-9550-5284)
- Heiko Meyer (ORCID: https://orcid.org/0000-0002-2631-1910)
Publication Details
- Journal
- Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
- Published
- 2024-11-26
- DOI
- https://doi.org/10.58530/2024/0386
- Primary Topic
- Robotics and Sensor-Based Localization
- Type
- article
- Field-Weighted Citation Impact
- 0.00