370-02-011 ISMRM Abstract

Comparing spiral and cartesian trajectories for Dixon-based 3D thoracic MR angiography

Primary: Acquisition & Reconstruction - Subsampling: Parallel imaging, compressed sensing and low-rank modeling

Secondary: Cardiovascular - Vascular and Vessel Wall

370-02-011 · Vascular and Vessel Wall Imaging · Monday, 11 May, 8:20 AM–9:15 AM · Traditional Posters | Exhibition Hall

Keywords: Compressed Sensing Dixon technique Spiral acquisition Fat-water separation Accelerated Acquisition

Accepted

Robert Stoll ^1,2, Tobias Schäffter^2,3,4, Christoph Kolbitsch³, Daniel Giese¹

¹Research & Clinical Translation, Magnetic Resonance, Siemens Healthineers AG, Erlangen, Germany

²Department of Medical Engineering, Technical University Berlin, Berlin, Germany

³Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Berlin, Germany

⁴Einstein Center Digital Future (ECDF), Berlin, Germany

Presenting Author: Robert Stoll

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References

1. Börnert, Peter, et al., Direct comparison of 3D spiral vs. Cartesian gradient‐echo coronary magnetic resonance angiography., Magnetic Resonance in Medicine: An Official Journal of the International Society for Magnetic Resonance in Medicine 46.4 (2001): 789-794. https://doi.org/10.1002/mrm.1258 [doi]

2. Hamilton, Jesse I., et al., A low-rank deep image prior reconstruction for free-breathing ungated spiral functional CMR at 0.55 T and 1.5 T. Magnetic Resonance Materials in Physics, Biology and Medicine 36.3 (2023): 451-464. https://doi.org/10.1007/s10334-023-01088-w [doi]

3. Bridson R., Fast Poisson disk sampling in arbitrary dimensions. SIGGRAPH sketches (2007).

4. Stoll R et al., Respiratory motion-corrected model-based 3D water-fat MRA at 0.55T. Proceedings of the ISMRM (2025). https://doi.org/10.58530/2025/3671 [doi]

5. Kumar, Prakash, et al., Volumetric real-time imaging for interventional CMR at 0.55 T. Journal of Cardiovascular Magnetic Resonance 27 (2025). https://doi.org/10.1016/j.jocmr.2024.101487 [doi]

6. Zimmermann, F. F., et al., MRpro - PyTorch-based MR image reconstruction and processing package 10.5281/zenodo.14509598 (2024). [doi]

7. Hernando D, Kellman P, Haldar JP, Liang ZP. Robust water/fat separation in the presence of large field inhomogeneities using a graph cut algorithm. Magnetic Resonance in Medicine. (2010);63(1):79-90. doi:10.1002/mrm.22177 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/370-02-011