Evaluation of Third‐Order Motion‐Compensated Cardiac Diffusion Tensor Imaging Across Cardiac Phases Using an Ultra‐High‐Performance Clinical Scanner
PURPOSE: To evaluate a third-order motion-compensated spin echo (M3-MCSE) sequence at multiple cardiac phases on a clinical 3 T MRI scanner with ultra-high performance (UHP) gradients (200 mT/m), compared with stimulated echo acquisition mode (STEAM) and second-order MCSE (M2-MCSE) for cardiac diffusion tensor imaging (cDTI). METHODS: Twenty healthy subjects underwent mid-ventricular short-axis cDTI at peak systole and diastasis using STEAM, M2-MCSE, and M3-MCSE. cDTI metrics and image quality were compared. In five additional healthy subjects, diffusion-weighted images were obtained at multiple trigger delays distributed over diastasis to assess motion-induced signal loss. RESULTS: ), with no significant difference in mean diffusivity, fractional anisotropy, helix angle transmurality or sheetlet angle in systole/diastole. STEAM-derived apparent diffusion coefficients (ADC) were consistent across diastasis, while ADC for MCSE sequences increased at sub-optimal trigger delays. CONCLUSION: UHP gradients enabled in vivo evaluation of M3-MCSE, showing superior systolic cDTI but reduced diastolic performance versus M2-MCSE due to reduced signal-to-noise ratio and a longer motion-sensitive window. Future work may consider numerically optimized gradient designs to enhance MCSE robustness throughout the cardiac cycle.
Authors
- Fanwen Wang (ORCID: https://orcid.org/0000-0001-5491-8333)
- Andrew D. Scott (ORCID: https://orcid.org/0000-0001-7656-3123)
- Sònia Nielles‐Vallespin (ORCID: https://orcid.org/0000-0003-0412-2796)
- Dudley J. Pennell (ORCID: https://orcid.org/0000-0001-5523-1314)
- Ke Wen
- Pedro F. Ferreira (ORCID: https://orcid.org/0000-0003-0559-6125)
- Ricardo Wage (ORCID: https://orcid.org/0000-0003-3538-801X)
- Karl P. Kunze
- Alberto Di Biase Oemick
Institutions
- King's College London (GB)
- Guy's and St Thomas' NHS Foundation Trust (GB)
- Siemens (United Kingdom) (GB)
- Imperial College London (GB)
Publication Details
- Journal
- Magnetic Resonance in Medicine
- Published
- 2026-04-22
- DOI
- https://doi.org/10.1002/mrm.70395
- Primary Topic
- Advanced Neuroimaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Chan Zuckerberg Initiative
- British Heart Foundation