Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
366-05-006 ISMRM Abstract

Optimization of a Cartesian acquisition with spiral profile ordering (CASPR) for free-breathing pancreatic fat quantification

Primary: Contrast Mechanisms - Fat & Fat/Water Separation
Secondary: Body - Body Composition
366-05-006 · Quantitative Applications in Body MRI: Make the Numbers Count · Monday, 11 May, 4:10 PM–5:05 PM · Digital Posters Row G
Keywords: Acquisition Methods Pancreas Fat-water separation
Accepted
Philipp Braun 1, Jonathan Stelter1, Stefan Ruschke1, Johannes M Peeters2, Holger Eggers3, Kilian Weiss4, Daniela Junker1, Dimitrios Karampinos1,5,6
1Institute for Diagnostic and Interventional Radiology, School of Medicine and Health, TUM University Hospital, Technical University of Munich, Munich, Germany
2Philips Healthcare, Best, Netherlands
3Philips GmbH Innovative Technologies, Hamburg, Germany
4Philips GmbH Market DACH, Hamburg, Germany
5CIBM Center for Biomedical Imaging, Lausanne, Switzerland
6Laboratory of Magnetic Resonance Imaging Systems and Methods, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, Switzerland
Presenting Author: Philipp Braun

Synopsis

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References

1. S. B. Reeder and C. B. Sirlin, “Quantification of Liver Fat with Magnetic Resonance Imaging,” Magn. Reson. Imaging Clin. N. Am., vol. 18, no. 3, pp. 337–357, Aug. 2010, doi: 10.1016/j.mric.2010.08.013. [doi]
2. K. Engelke et al., “Magnetic resonance imaging techniques for the quantitative analysis of skeletal muscle: State of the art,” J. Orthop. Transl., vol. 42, pp. 57–72, Sep. 2023, doi: 10.1016/j.jot.2023.07.005. [doi]
3. H. Yu et al., “Phase and amplitude correction for multi‐echo water–fat separation with bipolar acquisitions,” J. Magn. Reson. Imaging, vol. 31, no. 5, pp. 1264–1271, May 2010, doi: 10.1002/jmri.22111. [doi]
4. M. D. Chouhan, L. Firmin, S. Read, Z. Amin, and S. A. Taylor, “Quantitative pancreatic MRI: a pathology-based review,” Br. J. Radiol., vol. 92, no. 1099, p. 20180941, Jul. 2019, doi: 10.1259/bjr.20180941. [doi]
5. H. Zhao et al., “Clinical Feasibility of 5.0 T MRI/MRCP in Characterizing Pancreatic Cystic Lesions: Comparison with 3.0 T and MDCT,” Diagnostics, vol. 14, no. 21, p. 2457, Nov. 2024, doi: 10.3390/diagnostics14212457. [doi]
6. J. D. Story et al., “Using FREE‐BREATHING MRI to Quantify Pancreatic Fat and Investigate Spatial Heterogeneity in Children,” J. Magn. Reson. Imaging, vol. 57, no. 2, pp. 508–518, Feb. 2023, doi: 10.1002/jmri.28337. [doi]
7. M. Usman, B. Ruijsink, M. S. Nazir, G. Cruz, and C. Prieto, “Free breathing whole-heart 3D CINE MRI with self-gated Cartesian trajectory,” Magn. Reson. Imaging, vol. 38, pp. 129–137, May 2017, doi: 10.1016/j.mri.2016.12.021. [doi]
8. C. Prieto et al., “Highly efficient respiratory motion compensated free‐breathing coronary mra using golden‐step Cartesian acquisition,” J. Magn. Reson. Imaging, vol. 41, no. 3, pp. 738–746, Mar. 2015, doi: 10.1002/jmri.24602. [doi]
9. S. Ruschke et al., “Correction of phase errors in quantitative water–fat imaging using a monopolar time‐interleaved multi‐echo gradient echo sequence,” Magn. Reson. Med., vol. 78, no. 3, pp. 984–996, Sep. 2017, doi: 10.1002/mrm.26485. [doi]
10. S. Rosenzweig, N. Scholand, H. C. M. Holme, and M. Uecker, “Cardiac and Respiratory Self-Gating in Radial MRI Using an Adapted Singular Spectrum Analysis (SSA-FARY),” IEEE Trans. Med. Imaging, vol. 39, no. 10, pp. 3029–3041, Oct. 2020, doi: 10.1109/TMI.2020.2985994. [doi]
11. T. J. Colgan, D. Hernando, S. D. Sharma, and S. B. Reeder, “The effects of concomitant gradients on chemical shift encoded MRI: Effects of CGs on CSE-MRI,” Magn. Reson. Med., vol. 78, no. 2, pp. 730–738, Aug. 2017, doi: 10.1002/mrm.26461. [doi]
12. M. A. Bernstein et al., “Concomitant gradient terms in phase contrast MR: Analysis and correction,” Magn. Reson. Med., vol. 39, no. 2, pp. 300–308, Feb. 1998, doi: 10.1002/mrm.1910390218. [doi]
13. W. P. Segars, G. Sturgeon, S. Mendonca, J. Grimes, and B. M. W. Tsui, “4D XCAT phantom for multimodality imaging research,” Med. Phys., vol. 37, no. 9, pp. 4902–4915, Sep. 2010, doi: 10.1118/1.3480985. [doi]
14. C. Boehm, M. N. Diefenbach, M. R. Makowski, and D. C. Karampinos, “Improved body quantitative susceptibility mapping by using a variable‐layer single‐min‐cut graph‐cut for field‐mapping,” Magn. Reson. Med., vol. 85, no. 3, pp. 1697–1712, Mar. 2021, doi: 10.1002/mrm.28515. [doi]

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http://echo.ismrm.org/p/ISMRM2026/366-05-006