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μ-ViP: Customized virtual phantom for quantitative magnetic resonance micro-imaging at high magnetic field.
C Rondeau-Mouro1, R Kovrlija1, G Gambarota2
1Irstea, UR OPAALE, 17 avenue de Cucillé, CS 64427, F-35044 Rennes, France; Université Bretagne Loire, France.
Journal of Magnetic Resonance (San Diego, Calif. : 1997)
|December 27, 2016
Summary
Researchers developed a virtual phantom (ViP) for Magnetic Resonance micro-Imaging (MRμI) to ensure stable reference signals during experiments. This innovation enhances real-time quality control and magnetic resonance signal quantification in small samples.
Area of Science:
- Magnetic Resonance Imaging
- Spectroscopy
- Biomedical Engineering
Background:
- Magnetic Resonance micro-Imaging (MRμI) applications are widespread but often lack quantitative measurements for dynamic or long acquisitions.
- Key challenges include maintaining a stable reference signal from a phantom under varying experimental conditions like temperature and moisture.
Purpose of the Study:
- To implement a dedicated setup for generating a virtual phantom (ViP) signal.
- To utilize a vertical-bore 11.7 T NMR spectrometer with a micro-imaging probe.
- To create a micro-imaging-dedicated ViP (μ-ViP) signal for improved MRμI.
Main Methods:
- Implementation of a specialized experimental setup within an 11.7 T NMR spectrometer.
- Generation of a virtual phantom (ViP) signal using a micro-imaging probe.
- Testing the stability of the μ-ViP signal under varied conditions.
Main Results:
- Successful generation of a micro-imaging-dedicated virtual phantom (μ-ViP) signal.
- Demonstrated benefit of μ-ViP for on-line quality control during real-time MRμI experiments.
- Established μ-ViP as a valuable tool for spectrometer performance monitoring.
Conclusions:
- The μ-ViP signal provides a stable reference for quantitative measurements in MRμI.
- This method enhances the reliability of real-time MRμI experiments.
- μ-ViP represents a significant advancement towards improved magnetic resonance signal quantification in small samples.

