ArticleMagnetic resonance in medicine2023
KomaMRI.jl: An open-source framework for general MRI simulations with GPU acceleration.
Article in Magnetic resonance in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
20 citing papers in PubMed.
- An Open-Source, Reproducible MRI Data Acquisition and Reconstruction Workflow Using Pulseq: Multi-Site and Cross-Vendor Validation.Magnetic resonance in medicine · 2026Article
- Locally Linearized Approximation of RF Pulse Propagators for Faster Simulation of Magnetization Dynamics With Slice Profile Effects in 2D MR Fingerprinting.Magnetic resonance in medicine · 2026Article
- Article
- In-Depth optimization and characterization of prostatic and penile vessel imaging with Ferumoxytol-enhanced magnetic resonance imaging.Medical physics · 2026Article
- An Open-Source Software Toolbox for Rapid Radiofrequency Coil Design and Evaluation in MRI.Magnetic resonance in medicine · 2026Article
- MRSeqStudio: MRI Sequence Design and Simulation as a Service in a Free and Open-Source Web Platform.Journal of medical systems · 2026Article
- Data Stitching for Dynamic Field Monitoring With NMR Probes.Magnetic resonance in medicine · 2026Article
- Fast MR Simulation Using Combined Update of Grouped Isochromats.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2026Article
- Increasing the measurable frequency range of magnetic field oscillations with off-resonance spin-lock preparation pulses.Magnetic resonance in medicine · 2026Article
- Versatile and Highly Efficient MRI Simulation of Arbitrary Motion in KomaMRI.Magnetic resonance in medicine · 2026Article
- Sampling of non-Gaussian Ensemble Average Propagators for the simulation of diffusion magnetic resonance images.Magnetic resonance in medicine · 2026Article
- Barracuda: a dynamic, Turing-complete GPU virtual machine for high-performance simulations.Medical & biological engineering & computing · 2026Article
- MATI: A GPU-accelerated toolbox for microstructural diffusion MRI simulation and data fitting with a graphical user interface.Magnetic resonance imaging · 2025Article
- Gpu-accelerated JEMRIS for extensive MRI simulations.Magma (New York, N.Y.) · 2025Article
- MRI acquisition and reconstruction cookbook: recipes for reproducibility, served with real-world flavour.Magma (New York, N.Y.) · 2025Review
- Highly efficient image navigator based 3D whole-heart cardiac MRA at 0.55T.Magnetic resonance in medicine · 2025Article
- SNAKE: A modular realistic fMRI data simulator from the space-time domain to k-space and back.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Enhancing MR vascular Fingerprinting with realistic microvascular geometries.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Physiological signal analysis and open science using the Julia language and associated software.Frontiers in network physiology · 2024Review
- KomaMRI.jl: An open-source framework for general MRI simulations with GPU acceleration.Magnetic resonance in medicine · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
purposeTo develop an open-source, high-performance, easy-to-use, extensible, cross-platform, and general MRI simulation framework (Koma).
methodsKoma was developed using the Julia programming language. Like other MRI simulators, it solves the Bloch equations with CPU and GPU parallelization. The inputs are the scanner parameters, the phantom, and the pulse sequence that is Pulseq-compatible. The raw data is stored in the ISMRMRD format. For the reconstruction, MRIReco.jl is used. A graphical user interface utilizing web technologies was also designed. Two types of experiments were performed: one to compare the quality of the results and the execution speed, and the second to compare its usability. Finally, the use of Koma in quantitative imaging was demonstrated by simulating Magnetic Resonance Fingerprinting (MRF) acquisitions.
resultsKoma was compared to two well-known open-source MRI simulators, JEMRIS and MRiLab. Highly accurate results (with mean absolute differences below 0.1% compared to JEMRIS) and better GPU performance than MRiLab were demonstrated. In an experiment with students, Koma was proved to be easy to use, eight times faster on personal computers than JEMRIS, and 65% of test subjects recommended it. The potential for designing acquisition and reconstruction techniques was also shown through the simulation of MRF acquisitions, with conclusions that agree with the literature.
conclusionsKoma's speed and flexibility have the potential to make simulations more accessible for education and research. Koma is expected to be used for designing and testing novel pulse sequences before implementing them in the scanner with Pulseq files, and for creating synthetic data to train machine learning models.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.