Feasibility of knee magnetic resonance imaging protocol using artificial intelligence-assisted iterative algorithm protocols: comparison with standard MRI protocols
Images processed using AIIA reconstruction were acquired faster while maintaining comparable image quality and diagnostic capability, meeting the requirements for clinical diagnosis.
Authors
- Fenghuan Lin
- Yanxia Chen (ORCID: https://orcid.org/0000-0002-1370-7422)
- Mengqiang Xiao (ORCID: https://orcid.org/0000-0001-6970-6405)
- Jie Chen (ORCID: https://orcid.org/0000-0003-2306-8860)
- Jun Chen (ORCID: https://orcid.org/0000-0002-9428-7529)
- Hailong Liu (ORCID: https://orcid.org/0000-0002-4161-3108)
- Meng Zhang (ORCID: https://orcid.org/0000-0003-0637-249X)
- Hong Bu (ORCID: https://orcid.org/0000-0001-7472-6443)
Institutions
- Qujing Normal University (CN)
- Xian Yang Central Hospital (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2024-10-23
- DOI
- https://doi.org/10.3389/fmed.2024.1480196
- Citations
- 3
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.36