Motion Estimation and Retrospective Correction in 2D Cartesian Turbo Spin Echo Spine Scans
Motivation: Patient motion during spine MRI significantly degrades diagnostic utility. Goal(s): Demonstrate the benefits of an efficient retrospective motion correction technique across clinical 2D TSE spine protocols. Approach: A rapid low-resolution scout scan in combination with a small number of additional calibration lines are utilized for on-the-fly bulk motion estimation. Region-targeting coil-combination methods are used to model non-rigid motion in the spine. Generalized reconstructions are performed using locally rigid motion information. Results: Improved image quality for in vivo L- and C-spine scans utilizing partially non-rigid motion correction for instructed subject motion experiments. Impact: A strategy for performing motion estimation and correction in TSE spine imaging is proposed. Region-targeting coil-combination methods allow for isolation of different spatial sources of non-rigid motion. Improved image quality is demonstrated in vivo under supervised motion conditions.
Authors
- Lawrence L. Wald (ORCID: https://orcid.org/0000-0001-8278-6307)
- Julian Hoßbach
- 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)
- Bryan Clifford (ORCID: https://orcid.org/0000-0002-1966-0581)
- Stephen Cauley (ORCID: https://orcid.org/0000-0002-6147-6016)
- Daniel Nicolas Splitthoff (ORCID: https://orcid.org/0000-0003-4032-9516)
- Susie Y. Huang (ORCID: https://orcid.org/0000-0003-2950-7254)
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/10.58530/2024/2333
- Citations
- 1
- Primary Topic
- Medical Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.18