Rapid FLASH scout and guidance lines for robust retrospective motion correction across all 2D TSE contrasts
Motivation: Motion remains a common source of artifacts in brain imaging. Goal(s): To facilitate retrospective motion correction across all 2D TSE contrasts. Approach: A 1-2 sec pre-scan (scout) using a saturation preparation and FLASH readout precedes the TSE imaging scan and is then compared to two additional rapid FLASH k-space encoding lines (guidance lines) inserted after every TSE echo train. The contrast-matched scout and guidance line data provide fully separable estimation of motion parameters shot-by-shot using a SENSE+motion model. Results: In vivo, rapid motion trajectory estimation and robust artifact mitigation is demonstrated in T1w, T2w and FLAIR TSE scans with instructed subject motion. Impact: We present a generalized strategy for retrospective motion correction in 2D TSE brain imaging using an ultra-fast pre-scan and the repeated acquisition of two additional k-space lines. This facilitates rapid motion estimation and robust artifact mitigation across all TSE contrasts.
Authors
- Lawrence L. Wald (ORCID: https://orcid.org/0000-0001-8278-6307)
- Thorsten Feiweier (ORCID: https://orcid.org/0009-0005-3537-9844)
- 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
- Susie Y. Huang (ORCID: https://orcid.org/0000-0003-2950-7254)
- Yantu Huang
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/10.58530/2024/2661
- Citations
- 1
- Primary Topic
- Advanced Optical Sensing Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.51