Key result
A multi-variable T1 fitting model provided more accurate T1 estimates than the conventional three-parameter fit in phantoms (error of -0.42 ± 1.73% vs -3.40 ± 1.46%).
Absolute Event Rate: -0.42% vs -3.4%
A new multi-variable T1 fitting model improves the accuracy of myocardial T1 measurements in rats, which could advance quantitative myocardial T1 mapping in rodent models.
May refine preclinical T1 accuracy in phantoms; leaves open in vivo validation for rodent myocardial mapping.
PURPOSE: To improve myocardial and blood T1 measurements with a multi-variable T1 fitting model specifically modified for a segmented multi-shot FLASH sequence. METHODS: The proposed method was first evaluated in a series of phantoms simulating realistic tissues, and then in healthy rats (n = 8) and rats with acute myocardial infarction (MI) induced by coronary artery ligation (n = 8). RESULTS: By taking into account the saturation effect caused by sampling α-train pulses, and the longitudinal magnetization recovery between readouts, our model provided more accurate T1 estimate than the conventional three-parameter fit in phantoms under realistic gating procedures (error of -0.42 ± 1.73% versus -3.40 ± 1.46%, respectively, when using the measured inversion efficiency, β). The baseline myocardial T1 values in healthy rats was 1636.3 ± 23.4 ms at 7 Tesla. One day postligation, the T1 values in the remote and proximal myocardial areas were 1637.5 ± 62.6 ms and 1740.3 ± 70.5 ms, respectively. In rats with acute MI, regional differences in myocardial T1 values were observed both before and after the administration of gadolinium. CONCLUSION: The proposed method has improved T1 estimate as validated in phantoms and could advance applications in rodents using quantitative myocardial T1 mapping.
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Zhang et al. (2013) studied Acute myocardial infarction (n=16). Multi-variable T1 fitting model for segmented multi-shot FLASH sequence vs. Conventional three-parameter fit was evaluated on T1 estimate error in phantoms. A multi-variable T1 fitting model provided more accurate T1 estimates than the conventional three-parameter fit in phantoms (error of -0.42 ± 1.73% vs -3.40 ± 1.46%).
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