Accuracy and Longitudinal Consistency of PET/MR Attenuation Correction in Amyloid PET Imaging amid Software and Hardware Upgrades
DL-Dixon exhibited excellent accuracy and longitudinal consistency across the 2 software versions and head coils, demonstrating its robustness for longitudinal PET/MR neuroimaging studies in AD.
Authors
- Tammie L.S. Benzinger (ORCID: https://orcid.org/0000-0002-8114-0552)
- Yasheng Chen (ORCID: https://orcid.org/0000-0002-1133-452X)
- Richard A. Laforest (ORCID: https://orcid.org/0000-0002-0238-1439)
- Chunwei Ying (ORCID: https://orcid.org/0000-0003-1060-3289)
- Hongyu An (ORCID: https://orcid.org/0000-0001-6459-2269)
- Shaney Flores (ORCID: https://orcid.org/0000-0003-2726-8704)
- Yan Yan (ORCID: https://orcid.org/0000-0002-4618-7654)
Institutions
- Tamkang University (TW)
- Washington University in St. Louis (US)
- Mallinckrodt (United States) (US)
- Hope Center for Neurological Disorders (US)
Publication Details
- Journal
- American Journal of Neuroradiology
- Published
- 2024-09-09
- DOI
- https://doi.org/10.3174/ajnr.a8490
- Citations
- 1
- Primary Topic
- Medical Imaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.40
Funders
- Eli Lilly and Company
- Siemens Healthineers
- National Institutes of Health
- Avid Radiopharmaceuticals