Digital Object Simulations
Duration: | 2023 |
Technologies: | C, Shell Scripting, Python |
Collaborators: | Martin Schilling, Martin Heide, Martin Juschitz, Martin Uecker |
Simulated transient-state signal of an analytical brain geometry during an inversion-recovery FLASH acquisition.
- Arbitrary geometries of digital objects that can be passed as Bézier curves to the command line interface of BART.
- Include a Python 3 based tool for extracting Bézier curves from an SVG file to the BART compatible multi-cfl format.
- A realistic brain geometry segmented into four different regions.
- Realistic 64 channel 3D coil sensitivity profiles measured and extracted from a head coil at the university medical center in Göttingen.
- A comprehensive framework to simulate various MRI sequences with an adaptive step-size Runge-Kutta solver, state-transition matrices, or rotational matrices. The framework supports physical models of differing complexity, e.g. the Bloch equations.
Schematic concept of the developed component-based simulation of realistic signal evolutions and complex geometries. For simplicity the simulation in image domain is illustrated, but a comparison between image and native frequency is provided.
Resources
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Software Tools |
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Tutorial | Github |
References
- Digital Reference Objects with BART Nick Scholand*, Martin Schilling*, Martin Heide, Martin Uecker In Proc. Intl. Soc. Mag. Reson. Med. 31 (2023); 3118
- Quantitative MRI by nonlinear inversion of the Bloch equations Nick Scholand, Xiaoqing Wang, Volkert Roeloffs, Sebastian Rosenzweig, Martin Uecker Magn Reson Med. 2023; 90: 520-538. doi: 10.1002/mrm.29664