High‐resolution motion compensation for brain PET imaging using real‐time electromagnetic motion tracking
The proposed EMMT system is a cost-effective, high frame-rate, and none-line-of-sight alternative to infrared camera-based tracking systems and is capable of achieving high rotational and translational tracking accuracies for mitigating motion-induced blur in high-resolution brain dedicated PET scanners.
Authors
- Tianyi Zeng (ORCID: https://orcid.org/0000-0002-5467-062X)
- Amir H. Goldan (ORCID: https://orcid.org/0000-0001-6513-5801)
- Jinyi Qi (ORCID: https://orcid.org/0000-0002-5428-0322)
- Edward K. Fung (ORCID: https://orcid.org/0000-0002-3390-1548)
- Anthony Boccia
- Zipai Wang
- Xinjie Zeng (ORCID: https://orcid.org/0000-0002-8987-3726)
- Ajay Gupta (ORCID: https://orcid.org/0000-0003-2816-0340)
- Wanbin Tan
- Yi Li (ORCID: https://orcid.org/0000-0001-7165-7251)
- Yixin Li (ORCID: https://orcid.org/0000-0002-8162-6026)
- Xiuyuan Wang (ORCID: https://orcid.org/0000-0001-6356-3386)
Institutions
- Cornell University (US)
- Columbia University Irving Medical Center (US)
- Yale University (US)
- Stony Brook School (US)
- Stony Brook University (US)
- University of California, Davis (US)
Publication Details
- Journal
- Medical Physics
- Published
- 2024-10-18
- DOI
- https://doi.org/10.1002/mp.17437
- Citations
- 1
- Primary Topic
- Medical Imaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.40
Funders
- National Institutes of Health
- Weill Cornell Medical College