Synthesis of 4D Flow MRI Data using Particle-based Bloch Simulations in CMRsim

Motivation: Signal model-based synthesis of 4D flow MRI data from CFD is promising to study image acquisition, reconstruction methods and augment data for inference. However, the approach assumes idealized encoding, and particle-based Bloch simulations are needed to include complex effects. Goal(s): Implement a particle-based Bloch simulation in CMRsim for generating synthetic multi-venc 4D flow data. Approach: Using pulsatile, stenotic U-bend CFD data as input, simulations of moving magnetization in CMRsim generate synthetic 4D flow MRI data. Results: 4D flow simulation is feasible in CMRsim, demonstrating tractable simulation times and good agreement with ground truth and magnetization history-based effects, namely acceleration and intra-voxel dephasing. Impact: Numeric Bloch simulations in CMRsim permit a detailed study of imaging protocol-dependent flow-related artifacts in 4D flow MRI of complex flows and can thereby assist in improving acquisition and reconstruction approaches.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2024-11-26
DOI
https://doi.org/10.58530/2024/3754
Primary Topic
Lattice Boltzmann Simulation Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Synthesis of 4D Flow MRI Data using Particle-based Bloch Simulations in CMRsim

Charles McGrath, Pietro Dirix, Sebastian Kozerke, Jonathan Weine
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Lattice Boltzmann Simulation Studies
article

Synthesis of 4D Flow MRI Data using Particle-based Bloch Simulations in CMRsim

Charles McGrath, Pietro Dirix, Sebastian Kozerke, Jonathan Weine
article en

Abstract

Motivation: Signal model-based synthesis of 4D flow MRI data from CFD is promising to study image acquisition, reconstruction methods and augment data for inference. However, the approach assumes idealized encoding, and particle-based Bloch simulations are needed to include complex effects. Goal(s): Implement a particle-based Bloch simulation in CMRsim for generating synthetic multi-venc 4D flow data. Approach: Using pulsatile, stenotic U-bend CFD data as input, simulations of moving magnetization in CMRsim generate synthetic 4D flow MRI data. Results: 4D flow simulation is feasible in CMRsim, demonstrating tractable simulation times and good agreement with ground truth and magnetization history-based effects, namely acceleration and intra-voxel dephasing. Impact: Numeric Bloch simulations in CMRsim permit a detailed study of imaging protocol-dependent flow-related artifacts in 4D flow MRI of complex flows and can thereby assist in improving acquisition and reconstruction approaches.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 77%
Lattice Boltzmann Simulation Studies
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Synthesis of 4D Flow MRI Data using Particle-based Bloch Simulations in CMRsim — Charles McGrath, Pietro Dirix, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2024) | TGRS Research Map | TGRS