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Standard relaxation time quantification using phase‐cycled balanced steady‐state free precession (bSSFP), eg, motion‐insensitive rapid configuration relaxometry (MIRACLE), is subject to a considerable underestimation of tissue T1 and T2 due to… Click to show full abstract
Standard relaxation time quantification using phase‐cycled balanced steady‐state free precession (bSSFP), eg, motion‐insensitive rapid configuration relaxometry (MIRACLE), is subject to a considerable underestimation of tissue T1 and T2 due to asymmetric intra‐voxel frequency distributions. In this work, an artificial neural network (ANN) fitting approach is proposed to simultaneously extract accurate reference relaxation times (T1, T2) and robust field map estimates ( B1+ , ΔB0) from the bSSFP profile.
Journal Title: Magnetic Resonance in Medicine
Year Published: 2020
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