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[Quality control in magnetic resonance for clinical use]
1Laboratorio di Biologia Cellulare, Istituto Superiore di Sanità, Roma.
Annali Dell'Istituto Superiore Di Sanita
|January 1, 1994
Summary
International quality control protocols for clinical magnetic resonance imaging (MRI) and spectroscopy (MRS) have evolved, standardizing methodologies for accurate instrumental performance assessment. These advancements enhance diagnostic capabilities by improving anatomical and physio-pathological information.
Area of Science:
- Medical Imaging Physics
- Biomedical Spectroscopy
- Quality Assurance in Healthcare
Context:
- Clinical magnetic resonance imaging (MRI) and spectroscopy (MRS) require rigorous quality control for reliable diagnostic information.
- International efforts have focused on standardizing protocols to ensure consistent and accurate instrumental performance.
- European Economic Communities (EEC) and National Electrical Manufacturers Association (NEMA) have played key roles in developing these standards.
Purpose:
- To summarize the evolution of international quality control protocols for clinical MRI and MRS.
- To detail the methodologies and test objects developed for assessing instrumental performance in MRI and MRS.
- To highlight the importance of accurate quality assessment for enhancing the clinical value of MRI and MRS.
Summary:
- Standardized methodologies and test objects have been developed for assessing fourteen instrumental parameters in MRI, including signal uniformity, geometry, spatial resolution, and signal-to-noise ratios.
- Protocols for assessing signal uniformity, geometric distortion, and signal-to-noise ratio in MRI, as adopted by EEC and NEMA, are discussed.
- Eleven instrumental performance parameters, two test objects, and measurement protocols for quality control in single-volume localized MRS are presented, based on multi-centre trial validation.
Impact:
- Enhanced clinical value of MRI and MRS through improved anatomical and physio-pathological information.
- Standardized quality control ensures greater reliability and comparability of imaging data across different institutions.
- Facilitates the adoption and validation of advanced imaging techniques in clinical practice.