Abstract

IntroductionT2 relaxometry has become an important tool in quantitative MRI. Little focus has been put on the effect of the refocusing flip angle upon the offset parameter, which was introduced to account for a signal floor due to noise or to long T2 components. The aim of this study was to show that B1 imperfections contribute significantly to the offset. We further introduce a simple method to reduce the systematic error in T2 by discarding the first echo and using the offset fitting approach.Materials and MethodsSignal curves of T2 relaxometry were simulated based on extended phase graph theory and evaluated for 4 different methods (inclusion and exclusion of the first echo, while fitting with and without the offset). We further performed T2 relaxometry in a phantom at 9.4T magnetic resonance imaging scanner and used the same methods for post-processing as in the extended phase graph simulated data. Single spin echo sequences were used to determine the correct T2 time.ResultsThe simulation data showed that the systematic error in T2 and the offset depends on the refocusing pulse, the echo spacing and the echo train length. The systematic error could be reduced by discarding the first echo. Further reduction of the systematic T2 error was reached by using the offset as fitting parameter. The phantom experiments confirmed these findings.ConclusionThe fitted offset parameter in T2 relaxometry is influenced by imperfect refocusing pulses. Using the offset as a fitting parameter and discarding the first echo is a fast and easy method to minimize the error in T2, particularly for low to intermediate echo train length.

Highlights

  • T2 relaxometry has become an important tool in quantitative magnetic resonance imaging (MRI)

  • The simulation data showed that the systematic error in T2 and the offset depends on the refocusing pulse, the echo spacing and the echo train length

  • The fitted offset parameter in T2 relaxometry is influenced by imperfect refocusing pulses

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Summary

Objectives

The aim of this study was to show that B1 imperfections contribute significantly to the offset. The aim of this study is to show, that B1 inhomogeneities and imperfect refocusing pulses contribute significantly to the offset. By using extended phase graph (EPG) theory [23–26] we aim to show that errors in the early echoes caused by B1 inhomogeneities increase the offset depending on FA, echo spacing (ESP) and echo train length (ETL) and the T2 of the tissue. As mono-exponential fitting methods, are used in the majority of clinical and preclinical studies, our aim was to minimize the error in T2 by two modifications of mono-exponential fitting, that can be performed, are not time-intensive and have already been proposed: introducing an offset and/or discarding the first echo

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