AI-powered Gradient Echo Plural Contrast Imaging (AI-GEPCI) – a Comprehensive Multiparametric Neurological Protocol from a Single MRI Scan
AI-GEPCI generated multiple clinically relevant MRI contrasts from a single GEPCI acquisition with high similarity to corresponding acquired images. Radiological reviews and quantitative analyses supported the feasibility of producing high-quality, intrinsically co-registered multi-contrasts for comprehensive brain evaluation.
Authors
- J. H. Lewis (ORCID: https://orcid.org/0000-0002-9442-9427)
- Ulugbek S. Kamilov (ORCID: https://orcid.org/0000-0001-6770-3278)
- Gregory Wu (ORCID: https://orcid.org/0000-0002-5434-3557)
- Yuyang Hu (ORCID: https://orcid.org/0000-0003-2349-8350)
- Anne H. Cross (ORCID: https://orcid.org/0000-0003-0829-7569)
- Alexander L. Sukstanskii
- Satya V.V.N. Kothapalli
- Dmitriy A Yablonskiy
- manu S Goyal
Institutions
- Washington University in St. Louis (US)
- Mallinckrodt (United States) (US)
Publication Details
- Journal
- medRxiv
- Published
- 2026-02-12
- DOI
- https://doi.org/10.64898/2026.02.11.26346017
- Primary Topic
- Multiple Sclerosis Research Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Institutes of Health
- National Institute on Aging