Open-source Multi-Spin Echo T2 Mapping Optimized for Knee Articular Cartilage
Motivation: Osteoarthritis affects one-fourth of the world's population. Interest in applying quantitative MRI (qMRI) for early detection and follow-up of this disease has grown but ensuring reproducibility of the measurements across vendors remains necessary. Goal(s): To design and optimize an Open-Source Multi-Spin-Echo (MSE) pulse sequence for standardizing T2 Knee Articular Cartilage (KAC) mapping. Approach: Cramer-Rao Lower Bound (CRLB) was used to maximize sensitivity to KAC T2 values. Repeatability tests were carried out in the NIST phantom and a pilot in vivo scan was performed. Results: Phantom results support improved specificity and demonstrate increased reproducibility over time. Pilot in vivo KAC data proves feasibility. Impact: Multi-Spin Echo sequences for T2 mapping knee articular cartilage were made available as open-source vendor-agnostic tools to enable future quantitative MRI standardization studies. NIST phantom evaluation tests suggest improved precision with the proposed optimization. Pilot in vivo data demonstrates feasibility.
Authors
- Sairam Geethanath (ORCID: https://orcid.org/0000-0002-3776-4114)
- Andreia Gaspar (ORCID: https://orcid.org/0000-0003-2044-6213)
- Patrick Scheibe (ORCID: https://orcid.org/0000-0003-0361-9063)
- Rita G. Nunes (ORCID: https://orcid.org/0000-0001-7425-5717)
- Tiago Fernandes (ORCID: https://orcid.org/0000-0002-4739-2713)
- José Coelho (ORCID: https://orcid.org/0000-0003-2039-3289)
- Jochen Schmidt (ORCID: https://orcid.org/0009-0005-6516-3489)
- Vasco Mascarenhas
- Ana Alfaiate
Publication Details
- Journal
- Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
- Published
- 2025-09-16
- DOI
- https://doi.org/10.58530/2025/2592
- Primary Topic
- Osteoarthritis Treatment and Mechanisms
- Type
- article
- Field-Weighted Citation Impact
- 0.00