Accuracy and repeatability of QRAPMASTER and MRF-vFA.

Laura Nunez-Gonzalez1, Gyula Kotek1, Pedro A Gómez2

  • 1Department of Radiology and Nuclear Medicine, Erasmus Medical Center, Rotterdam, the Netherlands.

Magnetic Resonance Imaging
|September 10, 2021
PubMed
Summary

This study compared quantitative MRI methods QRAPMASTER and MRF-VFA for T1 and T2 relaxometry. Both showed high repeatability, but QRAPMASTER demonstrated better accuracy, despite MRF-VFA being significantly faster.

Related Concept Videos

Accuracy and Precision01:52

Accuracy and Precision

Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value.  Highly accurate...
12.6K
Uncertainty in Measurement: Accuracy and Precision03:37

Uncertainty in Measurement: Accuracy and Precision

Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value. 
97.2K
Statistical Analysis: Overview01:11

Statistical Analysis: Overview

When we take repeated measurements on the same or replicated samples, we will observe inconsistencies in the magnitude. These inconsistencies are called errors. To categorize and characterize these results and their errors, the researcher can use statistical analysis to determine the quality of the measurements and/or suitability of the methods.
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
10.1K