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.

Highlights

  • A Cloud-ORiented Engine for advanced Magnetic Resonance Imaging (MRI) simulations is presented in this study

  • Conclusions Cloud-ORiented Engine for advanced MRI simulations (coreMRI) is available to the entire magnetic resonance (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, 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

  • The coreMRI simulation platform is publicly available to the entire MR community and allows its users to configure advanced MRI experiments without the constraints imposed by experimentation in a true MRI scanner, without upfront investment for purchasing advanced computer systems and without any user expertise on computer programming or MR physics

Read more

Summary

Introduction

A Cloud-ORiented Engine for advanced MRI simulations (coreMRI) is presented in this study. SIMRI [8] was mainly developed for training purposes and consisted of a Graphical User Interface (GUI) for manipulating a number of MR protocol parameters whereas JEMRIS [9] provided a comprehensive, open-source solution for answering more complex questions on pulse sequence design and its performance was evaluated on a 32-dual-core CPU cluster. These simulation platforms allowed for application in large-scale analysis, they required advanced technical knowledge, advanced setup of a computer cluster and the ability to modify the source code. A variety of MR simulators have been published in the literature to date, but they have mainly been developed and utilized for specific MR applications and they have not been validated extensively over a wider range of MR applications [17, 18]

Objectives
Methods
Results
Discussion
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call