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Magnetic resonance imaging (MRI) simulation on EGEE grid architecture: a web portal design
F Bellet1, I Nistoreanu, C Pera
1CREATIS, UMR CNRS #5515, U 630 Inserm, Université Claude Bernard Lyon, INSA, Lyon Bât. B. Pascal, 69621 Villeurbanne, FRANCE.
Studies in Health Technology and Informatics
|July 11, 2006
Summary
This paper introduces a user-friendly web portal for simulating Magnetic Resonance Imaging (MRI) images on the grid. The portal simplifies access to computationally intensive MRI simulations, making grid technology more accessible for research and algorithm validation.
Area of Science:
- Medical Imaging
- Computational Science
- Grid Computing
Background:
- Magnetic Resonance Imaging (MRI) simulations are crucial for studying MRI sequences and validating image processing algorithms.
- These simulations are computationally intensive, making grid technologies a valuable resource.
- Current grid access for MRI simulation is complex, hindering end-user accessibility.
Purpose of the Study:
- To develop a web portal that simplifies the process of simulating MRI images on the grid.
- To provide a user-friendly interface for researchers to conduct MRI simulations.
- To leverage grid computing for computationally demanding MRI simulation tasks.
Main Methods:
- A three-layer client/server architecture web portal was designed.
- The SIMRI MRI simulator was implemented on the grid using Message Passing Interface (MPI) and LCG2 middleware.
- A Java thread manages simulation jobs, submitting them to the grid and updating their status.
Main Results:
- The web portal successfully enables users to submit MRI simulation jobs via a web interface.
- Users can monitor the status of running jobs and access historical data of terminated jobs.
- Simulated MRI images are automatically sent to the user upon job completion.
Conclusions:
- The developed web portal significantly simplifies grid access for MRI simulations.
- It provides a user-friendly platform for researchers to perform complex MRI simulations.
- This enhances the utility of grid computing for advancing MRI research and image processing validation.
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