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VO Id Card : vo.mrilab.es   Update

  • 1 General Information
  • 2 Aknowledgement statement
  • 3 Resources

General information

Name vo.mrilab.es
Status Production
Validation date 2019-07-30
Last change 2019-07-30
Discipline
  • Medical and Health Sciences
    • Basic medicine
      • Neuroscience global
Enrollment Url https://aai.egi.eu/registry/co_petitions/start/coef:56
Homepage Url https://www.i3m-detectors.i3m.upv.es/research/magnetic-resonance-imaging-laboratory-mrilab/
Support Procedure Url

Description

Magnetic Resonance Imaging (MRI) capitalizes on the quantum properties of matter to emerge as the most versatile medical imaging technique available to date, making it possible to image tissues deep and superficial, soft and hard. The vast number of protons in the human body contribute to high quality images, both in terms of spatial resolution and signal-to-noise ratio. Combined with the possibility of manipulating and detecting the magnetization of protons with electromagnetic radiation in the radio-frequency range of the spectrum, this qualifies MRI as the only medical imaging technique enabling access to deep tissues, in vivo and with high resolution, while avoiding harmful ionizing radiation. MRI finds use also beyond human and veterinary medicine or biology, and is employed for industrial, engineering and pharmaceutical applications with materials and inanimate objects to study their internal properties or observe their behavior when subject to variable environmental parameters.

Acceptable Use Policy

Text This Acceptable Use Policy applies to all members of the vo.mrilab.es Virtual Organisation,
hereafter referred to as the VO, with reference to use of the EGI Infrastructure.
The [owner body] owns and gives authority to this policy.
Goal and description of the vo.mrilab.es VO
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Members and Managers of the VO agree to be bound by the Acceptable Usage Rules, VO Security Policy and other relevant EGI Policies, and to use the Infrastructure only in the furtherance of the stated goal of the VO.

Acknowledgments Statement

Grant Id
Scientific publications URL
Suggested This work used the EGI infrastructure with the dedicated support from the Advanced Computing and e-Science group at the Institute of Physics of Cantabria (IFCA-CSIC-UC).

Resources

Max used physical non-swap i386 memory size 0
Max used physical non-swap x86_64 memory size 0
Max size of scratch space used by jobs 0
Max time of job execution 0
Job wall clock time limit 0
number cores
min number cores :
pref number cores :
max number cores :
number of ram
min number ram :
pref number ram :
max number ram :
scratch space values
min scratch space values :
pref scratch space values :
max scratch space values :

Cloud Resources

CPU Core 0
VM Ram 0
Storage Size 0

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