Bias and SNR of T1 estimates derived from joint fitting of actual flip-angle and FLASH imaging data with variable flip angles.

M Dylan Tisdall
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Abstract

Previous work has suggested fitting joint AFI/FLASH data for T1 and B1+ by minimizing the 2-norm of the difference between the signal model and measurements will produce unbiased estimates of T1. We demonstrate that, contrary to previous results, the estimator has a substantial bias that varies with both the true T1 and B1+, and the receive channel count. We also demonstrate that the correct ML estimator removes the effect of channel count, and that the choice of AFI protocol has a larger impact of the quality of estimates than the addition of an extra FLASH scan.

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根据实际翻转角度和可变翻转角度的FLASH成像数据联合拟合得出T1估计的偏差和信噪比。
先前的研究表明,通过最小化信号模型和测量值之间的2范数差异,拟合T1和B1+的AFI/FLASH联合数据将产生T1的无偏估计。我们证明,与之前的结果相反,估计器具有实质性的偏差,该偏差随真实T1和B1+以及接收信道计数而变化。我们还证明了正确的ML估计器消除了通道计数的影响,并且AFI协议的选择对估计质量的影响比添加额外的FLASH扫描更大。
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