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Mono-Exponential Fitting in T2-Relaxometry: Relevance of Offset and First Echo
David Milford1, Nicolas Rosbach1, Martin Bendszus1
1Department of Neuroradiology, University Hospital Heidelberg, Heidelberg, Germany.
B1 imperfections in magnetic resonance imaging (MRI) affect T2 relaxometry offset parameters. Discarding the first echo and using offset fitting minimizes T2 errors, improving quantitative MRI accuracy.
Area of Science:
- Quantitative Magnetic Resonance Imaging (MRI)
- Biophysics
Background:
- T2 relaxometry is crucial for quantitative MRI.
- The offset parameter in T2 relaxometry, used for signal floor correction, is influenced by refocusing flip angle imperfections.
- B1 field imperfections are a significant, understudied factor affecting the offset parameter.
Purpose of the Study:
- To demonstrate that B1 imperfections significantly contribute to the offset parameter in T2 relaxometry.
- To introduce a simple method to reduce systematic T2 errors.
- To validate the proposed method using simulations and phantom experiments.
Main Methods:
- Simulated T2 relaxometry signal curves using extended phase graph theory.
- Evaluated four post-processing methods: including/excluding the first echo, fitting with/without offset.
- Performed T2 relaxometry on a phantom using a 9.4T MRI scanner and single spin echo sequences.
Main Results:
- Simulation data revealed that systematic T2 error and offset depend on refocusing pulse, echo spacing, and echo train length.
- Discarding the first echo reduced systematic T2 error.
- Further reduction in T2 error was achieved by incorporating the offset as a fitting parameter.
- Phantom experiments corroborated simulation findings.
Conclusions:
- The fitted offset parameter in T2 relaxometry is demonstrably influenced by imperfect refocusing pulses.
- Employing offset fitting and excluding the first echo offers a rapid and effective approach to minimize T2 errors.
- This method is particularly beneficial for low to intermediate echo train lengths in quantitative MRI.
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