Gpu-accelerated JEMRIS for extensive MRI simulations

By solving the Bloch equations in parallel on device, accelerated Bloch simulations can be performed on any GPU-equipped device with CUDA support using the developed GPU-JEMRIS. This would enable further insights into more realistic large spin pool MR simulations such as experiments with large multi-dimensional phantoms, multiple chemical species and dynamic effects.

Authors

Institutions

Publication Details

Journal
Magnetic Resonance Materials in Physics Biology and Medicine
Published
2025-09-04
DOI
https://doi.org/10.1007/s10334-025-01281-z
Citations
2
Primary Topic
Advanced MRI Techniques and Applications
Type
article
Field-Weighted Citation Impact
2.72

Funders

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article

Gpu-accelerated JEMRIS for extensive MRI simulations

Dimitrios C. Karampinos, Jonathan Stelter, Stefan Ruschke, Aizada Nurdinova et al.
2 citations
Magnetic Resonance Materials in Physics Biology and Medicine
Advanced MRI Techniques and Applications
2.72
article

Gpu-accelerated JEMRIS for extensive MRI simulations

Dimitrios C. Karampinos, Jonathan Stelter, Stefan Ruschke, Aizada Nurdinova, Michael Gestrich
article en
2 citations

Abstract

By solving the Bloch equations in parallel on device, accelerated Bloch simulations can be performed on any GPU-equipped device with CUDA support using the developed GPU-JEMRIS. This would enable further insights into more realistic large spin pool MR simulations such as experiments with large multi-dimensional phantoms, multiple chemical species and dynamic effects.

Magnetic Resonance Materials in Physics Biology and MedicineVol. 38(4)
Stanford Medicine (US), Technical University of Munich (DE), Stanford University (US)
Deutscher Akademischer Austauschdienst, Technische Universität München
Openalex Percentile: Top 9%
Advanced MRI Techniques and Applications
2.72
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