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Closed-form solution for T2 mapping with nonideal refocusing of slice selective CPMG sequences
Andreas Petrovic1, Eva Scheurer, Rudolf Stollberger
1Ludwig Boltzmann Institute for Clinical-Forensic Imaging, Graz, Austria; Graz University of Technology, Institute for Medical Engineering, Graz, Austria.
Magnetic Resonance in Medicine
|March 18, 2014
Summary
Accurate T2 quantification in MRI requires correcting for stimulated echoes. A novel generating functions (GF) approach effectively minimizes errors caused by B1+ inhomogeneity and slice profile effects, improving T2 value reliability.
Area of Science:
- Magnetic Resonance Imaging (MRI)
- Quantitative MRI techniques
- Biophysical modeling
Background:
- T2 quantification using multiecho MRI sequences is often inaccurate.
- Errors arise from stimulated echoes, B1+ inhomogeneity, and slice profile effects.
- Existing methods like monoexponential fitting can lead to significant T2 errors.
Purpose of the Study:
- To present a compact signal model using the generating functions (GF) approach for accurate T2 quantification.
- To account for errors caused by stimulated echoes, B1+ inhomogeneity, and slice profile effects.
- To improve the reliability of T2 measurements in MRI.
Main Methods:
- Utilized the generating functions (GF) approach to solve for transverse magnetization evolution in the z-domain.
- Incorporated flip angle distribution across refocusing slice profiles.
- Tested the GF model with simulated data, phantom, and in vivo measurements, comparing it to monoexponential fitting.
Main Results:
- Simulations showed monoexponential fitting can cause T2 errors up to 30% in clinical settings.
- The GF approach yielded accurate T2 quantification results.
- Experimental data demonstrated good agreement between GF values and spectroscopic/single-echo spin-echo sequences.
Conclusions:
- Correction for stimulated echoes is essential for accurate T2 value computation.
- The presented generating functions approach offers a robust solution for T2 quantification.
- This method enhances the comparability and reliability of MRI-derived T2 values.

