Longitudinal registration of T1-weighted breast MRI: A registration algorithm (FLIRE) and clinical application
FLIRE demonstrates promise for time-sensitive clinical applications due to its accuracy, robustness across patients and timepoints, and speed.
Authors
- Rebecca Rakow‐Penner (ORCID: https://orcid.org/0000-0002-2566-1978)
- Michelle W. Tong (ORCID: https://orcid.org/0000-0001-8766-7542)
- Stéphane Loubrie (ORCID: https://orcid.org/0009-0009-0526-2281)
- Tyler M. Seibert (ORCID: https://orcid.org/0000-0002-4089-7399)
- Hon J. Yu (ORCID: https://orcid.org/0000-0002-2815-6475)
- Maren M. Sjaastad Andreassen (ORCID: https://orcid.org/0000-0002-2581-7135)
- Anders M. Dale (ORCID: https://orcid.org/0000-0002-6126-2966)
- Ana E. Rodríguez‐Soto (ORCID: https://orcid.org/0000-0002-9544-547X)
Institutions
- Drammen Hospital (NO)
- Vestre Viken Hospital Trust (NO)
- University of California San Diego (US)
- La Jolla Bioengineering Institute (US)
Publication Details
- Journal
- Magnetic Resonance Imaging
- Published
- 2024-08-23
- DOI
- https://doi.org/10.1016/j.mri.2024.110222
- Primary Topic
- MRI in cancer diagnosis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- California Breast Cancer Research Program
- Varian Medical Systems
- National Institutes of Health
- GE Healthcare
- University of California, San Diego