Ultrashort Echo Time Quantitative Susceptibility Source Separation in Musculoskeletal System: A Feasibility Study
This study aims to demonstrate the feasibility of ultrashort echo time (UTE)-based susceptibility source separation for musculoskeletal (MSK) imaging, enabling discrimination between diamagnetic and paramagnetic tissue components, with a particular focus on hemophilic arthropathy (HA). Three key techniques were integrated to achieve UTE-based susceptibility source separation: Iterative decomposition of water and fat with echo asymmetry and least-squares estimation for B0 field estimation, projection onto dipole fields for local field mapping, and χ-separation for quantitative susceptibility mapping (QSM) with source decomposition. A phantom containing varying concentrations of diamagnetic (CaCO<sub>3</sub>) and paramagnetic (Fe<sub>3</sub>O<sub>4</sub>) materials was used to validate the method. In addition, in vivo UTE-QSM scans of the knees and ankles were performed on five HA patients using a 3T clinical MRI scanner. In the phantom, conventional QSM underestimated susceptibility values due to the mixed-source cancelling the effect. In contrast, source-separated maps provided distinct diamagnetic and paramagnetic susceptibility values that correlated strongly with CaCO<sub>3</sub> and Fe<sub>3</sub>O<sub>4</sub> concentrations (r = -0.99 and 0.95, <i>p</i> < 0.05). In vivo, paramagnetic maps enabled improved visualization of hemosiderin deposits in joints of HA patients, which were poorly visualized or obscured in conventional QSM due to susceptibility cancellation by surrounding diamagnetic tissues such as bone. This study demonstrates, for the first time, the feasibility of UTE-based quantitative susceptibility source separation for MSK applications. The approach enhances the detection of paramagnetic substances like hemosiderin in HA and offers potential for improved assessment of bone and joint tissue composition.
Authors
- Lorenzo Nardo (ORCID: https://orcid.org/0000-0002-0266-2708)
- Annette von Drygalski (ORCID: https://orcid.org/0000-0002-9426-6322)
- Sam Sedaghat
- Eric Yao Chang (ORCID: https://orcid.org/0000-0003-3633-5630)
- Eddie Fu
- Yajun Ma (ORCID: https://orcid.org/0000-0002-5227-675X)
- Jiang Du
- Jin Il Park
- Hyungseok Jang
Institutions
- Heidelberg University (DE)
- University Hospital Heidelberg (DE)
- University of California San Diego (US)
- University of California, Davis (US)
Publication Details
- Journal
- Journal of Imaging
- Published
- 2026-01-06
- DOI
- https://doi.org/10.3390/jimaging12010028
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00