Natively Fat-Suppressed 5D Whole-Heart MRI with a Radial Free-Running Fast-Interrupted Steady-State (FISS) Sequence at 1.5T and 3T
Jessica AM Bastiaansen, Davide Piccini, Lorenzo Di Sopra, Christopher, W Roy, Robert R Edelman, Ioannis Koktzoglou, Jerome Yerly, Matthias Stuber

TL;DR
This study develops and optimizes a fast interrupted steady-state (FISS) MRI sequence for native fat suppression in 5D whole-heart imaging at 1.5T and 3T, enabling high-quality, free-running cardiac scans within 8 minutes.
Contribution
The paper introduces an optimized FISS sequence for native fat suppression in 5D whole-heart MRI at 1.5T and 3T, with detailed parameter ranges and validation in volunteers.
Findings
FISS provides effective fat suppression compared to bSSFP.
Optimal TR and NR parameters depend on field strength and desired suppression bandwidth.
High-resolution 5D whole-heart MRI can be performed in under 8 minutes with FISS.
Abstract
Purpose: To implement, optimize and test fast interrupted steady-state (FISS) for natively fat-suppressed free-running 5D whole-heart MRI at 1.5T and 3T. Methods: FISS was implemented for fully self-gated free-running cardiac- and respiratory-motion-resolved radial imaging of the heart at 1.5T and 3T. Numerical simulations and phantom scans were performed to compare fat suppression characteristics and to determine parameter ranges (readouts per FISS module (NR) and repetition time (TR)) for effective fat suppression. Subsequently, free-running FISS data were collected in ten healthy volunteers. All acquisitions were compared with a continuous bSSFP version of the same sequence, and both fat suppression and scan times were analyzed. Results: Simulations demonstrate a variable width and location of suppression bands in FISS that was dependent on TR and NR. For a fat suppression bandwidth…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
