Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
551-01-013 / 551-01-013 ISMRM Abstract

Simulation and Evaluation of Joint Velocity-Acceleration Encoded 4D-Flow MRI

Primary: Cardiovascular - Flow
Secondary: Physics & Engineering - In Silico
551-01-013 · Frontiers in Cardiovascular MR · Wednesday, 13 May, 8:20 AM–9:56 AM · Power Pitch Theatre 1
551-01-013 · Frontiers in Cardiovascular MR · Wednesday, 13 May, 8:20 AM–9:56 AM · Power Pitch Theatre 1
Keywords: Sequence development Pressure gradient Motion encoding Bloch simulations 4D-flow MRI
Accepted
Charles McGrath 1,2, Carlos A Castillo-Passi1,2, Pablo Villacorta-Aylagas3, Michael Loecher1,2, Daniel B Ennis1,2,4
1Department of Radiology, Stanford University, Stanford, United States of America
2Cardiovascular Institute, Stanford University, Stanford, United States of America
3Laboratorio de Procesado de Imagen (LPI), Universidad de Valladolid, Valladolid, Spain
4Department of Bioengineering, Stanford University, Stanford, United States of America
Presenting Author: Charles McGrath

Synopsis

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References

1. Loecher M, Nair PJ, Ennis DB - Joint Velocity and Acceleration Encoding for Improved Pressure Gradient Mapping in Flow Imaging. In: Annual Meeting ISMRM. 2023.
2. Loecher M, Middione MJ, Ennis DB. A gradient optimization toolbox for general purpose time-optimal MRI gradient waveform design. Magnetic Resonance in Medicine. 2020;84(6):3234-3245. doi:10.1002/mrm.28384 [doi]
3. Weine J, McGrath C, Kozerke S. CMRSeq - A Python package for intuitive sequence design. In: Annual Meeting ISMRM. 2023.
4. Layton KJ, Kroboth S, Jia F, et al. Pulseq: A rapid and hardware-independent pulse sequence prototyping framework. Magnetic Resonance in Medicine. 2017;77(4):1544-1552. doi:10.1002/mrm.26235 [doi]
5. Castillo-Passi C, Coronado R, Varela-Mattatall G, Alberola-López C, Botnar R, Irarrazaval P. KomaMRI.jl: An open-source framework for general MRI simulations with GPU acceleration. Magnetic Resonance in Medicine. 2023;90(1):329-342. doi:10.1002/mrm.29635 [doi]
6. Villacorta-Aylagas, P., Castillo-Passi, C.A., Kierulf, R.A., Menchón-Lara, R.M., Rodríguez-Galván, J.R., Sierra-Pallares, J.B., Irarrazaval, P., Alberola-López, C., n.d. Versatile and Highly Efficient MRI Simulation of Arbitrary Motion in KomaMRI. Magnetic Resonance in Medicine n/a. doi.org/10.1002/mrm.70145 [doi]

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http://echo.ismrm.org/p/ISMRM2026/551-01-013