Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
567-03-015 ISMRM Abstract

Moving Virtual Lung Phantom in MR-zero for Motion-Robust NCE Lung MRI Sequence Optimization

Primary: Body - Lung
Secondary: Acquisition & Reconstruction - Open source software, sequences, and reconstruction algorithms
567-03-015 · Standardizing MRI Through Data Formats and Phantoms · Wednesday, 13 May, 1:40 PM–2:35 PM · Digital Posters Row H
Keywords: MRI simulation Lung MRI Free-Breathing Pulseq Non-contrast-enhanced
Accepted
Marcia Matos Karaorman 1,2, Marie K Kandels3, Lothar R Schad1,2, Frank G Zoellner1,2
1Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
2Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
3Faculty of Information Technology, Technical University of Applied Sciences Mannheim, Germany
Presenting Author: Marcia Matos Karaorman

Synopsis

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References

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2. Loktyushin A, Herz K, Dang N, et al. MRzero: Automated discovery of MRI sequences using supervised learning. Magn Reson Med. 2021;86:709–724. doi:10.1002/mrm.28727 [doi]
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4. Ravi K, Blumberg SB, Hargreaves BA, et al. PyPulseq: A Python package for MRI pulse sequence design. J Open Source Softw. 2019;4(42):1725. doi:10.21105/joss.01725 [doi]
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9. Bauman G, Puderbach M, Deimling M, et al. Non-contrast-enhanced perfusion and ventilation assessment of the human lung by means of Fourier decomposition in proton MRI. Magn Reson Med. 2009;62:656–664. doi:10.1002/mrm.22031 [doi]
10. Hanson HM, Eiben B, McClelland JR, van Herk M, Rowland BC. Technical note: Four-dimensional deformable digital phantom for MRI sequence development. Med Phys. 2021;48:5406–5413. doi:10.1002/mp.15036 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/567-03-015