ArticlePloS one2019
coreMRI: A high-performance, publicly available MR simulation platform on the cloud.
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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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.
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Who cites it
13 citing papers in PubMed.
- MRSeqStudio: MRI Sequence Design and Simulation as a Service in a Free and Open-Source Web Platform.Journal of medical systems · 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
- Versatile and Highly Efficient MRI Simulation of Arbitrary Motion in KomaMRI.Magnetic resonance in medicine · 2026Article
- First-Order Spatial Encoding Simulations for Improved Accuracy in the Presence of Strong BMagnetic resonance in medicine · 2026Article
- Barracuda: a dynamic, Turing-complete GPU virtual machine for high-performance simulations.Medical & biological engineering & computing · 2026Article
- A vendor-neutral functional MRI acquisition protocol for multi-site studies.Aperture neuro · 2026Article
- Chemical hydrodynamics of nuclear spin states.Science advances · 2025Article
- A vendor-neutral functional MRI acquisition protocol for multi-site studies.medRxiv : the preprint server for health sciences · 2025Article
- Gpu-accelerated JEMRIS for extensive MRI simulations.Magma (New York, N.Y.) · 2025Article
- Neural networks with personalized training for improved MOLLI TBMC medical imaging · 2025Article
- KomaMRI.jl: An open-source framework for general MRI simulations with GPU acceleration.Magnetic resonance in medicine · 2023Article
- Fast and accurate modeling of transient-state, gradient-spoiled sequences by recurrent neural networks.NMR in biomedicine · 2021Article
- Virtual clinical trials in medical imaging: a review.Journal of medical imaging (Bellingham, Wash.) · 2020Review
Corrections and comments
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Authors and funding
2 authors.
Funding
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Abstract
introductionA Cloud-ORiented Engine for advanced MRI simulations (coreMRI) is presented in this study. The aim was to develop the first advanced MR simulation platform delivered as a web service through an on-demand, scalable cloud-based and GPU-based infrastructure. We hypothesized that such an online MR simulation platform could be utilized as a virtual MRI scanner but also as a cloud-based, high-performance engine for advanced MR simulations in simulation-based quantitative MR (qMR) methods. METHODS AND
resultsThe simulation framework of coreMRI was based on the solution of the Bloch equations and utilized a ground-up-approach design based on the principles already published in the literature. The development of a front-end environment allowed the connection of the end-users to the GPU-equipped instances on the cloud. The coreMRI simulation platform was based on a modular design where individual modules (such as the Gadgetron reconstruction framework and a newly developed Pulse Sequence Designer) could be inserted in the main simulation framework. Different types and sources of pulse sequences and anatomical models were utilized in this study revealing the flexibility that the coreMRI simulation platform offers to the users. The performance and scalability of coreMRI were also examined on multi-GPU configurations on the cloud, showing that a multi-GPU computer on the cloud equipped with a newer generation of GPU cards could significantly mitigate the prolonged execution times that accompany more realistic MRI and qMR simulations.
conclusionscoreMRI is available to the entire MR community, whereas its high performance and scalability allow its users to configure advanced MRI experiments without the constraints imposed by experimentation in a true MRI scanner (such as time constraint and limited availability of MR scanners), without upfront investment for purchasing advanced computer systems and without any user expertise on computer programming or MR physics. coreMRI is available to the users through the webpage https://www.coreMRI.org.
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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.