Motion‐corrected brain <scp>MRI</scp> at ultralow field (64 <scp>mT</scp> )
The study demonstrates that alignedSENSE motion-correction techniques can be effectively applied to ULF MRI systems. The results suggest that these techniques can substantially enhance image quality without increasing scan time, which could make ULF MRI more clinically viable for point-of-care deployment.
Authors
- Niall Bourke (ORCID: https://orcid.org/0000-0001-6478-1430)
- Rui Pedro A. G. Teixeira (ORCID: https://orcid.org/0000-0001-6508-9315)
- Lucilio Cordero‐Grande (ORCID: https://orcid.org/0000-0003-1477-304X)
- Yannick Brackenier (ORCID: https://orcid.org/0000-0002-9210-5939)
- Steven Williams (ORCID: https://orcid.org/0000-0003-4299-1941)
- Tomoki Arichi (ORCID: https://orcid.org/0000-0002-3550-1644)
- Emil Ljungberg (ORCID: https://orcid.org/0000-0003-1456-7967)
- Joseph V. Hajnal (ORCID: https://orcid.org/0000-0002-2690-5495)
- Sean Deoni (ORCID: https://orcid.org/0000-0002-0633-6328)
Institutions
- Gates Foundation (US)
- King's College London (GB)
- Lund University (SE)
- Centro de Investigación Biomédica en Red (ES)
- Universidad Politécnica de Madrid (ES)
Publication Details
- Journal
- Magnetic Resonance in Medicine
- Published
- 2025-03-28
- DOI
- https://doi.org/10.1002/mrm.30506
- Citations
- 1
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Bill and Melinda Gates Foundation
- Centre For Medical Engineering, King’s College London