Towards a generalization of the MP2RAGE partial volume estimation model to account for B1+ inhomogeneities at 7T

J. Beaumont, O. Acosta, P. Raniga, G. Gambarota, J. Fripp
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Abstract

Brain morphometry performed with magnetic resonance (MR) imaging is affected by partial volume (PV) effects when single voxels contain the signal from two different tissues. This paper proposes a generalization of the MP2 RAGE sequence PV estimation model which accounts for transmitted magnetic field $(B1^{+})$ inhomogeneities at 7T. Our simulation experiments demonstrated that the PV estimation error of the proposed model is significantly lower than the error obtained with the same model neglecting $B1^{+}$ inhomogeneities (p<0.0001). The accuracy and precision of the $B1^{+}$ model (acc=92.0%, prec=89.6%) was significantly increased compared to the non $B1^{+}$ model (acc=69.8%, prec=65.4%). This highlights the importance of accounting for $B1^{+}$ inhomogeneities when computing PV on MP2RAGE data, which would otherwise limit the accuracy of brain morphometry at 7T.
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对MP2RAGE部分体积估计模型的推广,以解释7T时B1+的不均匀性
当单个体素包含来自两个不同组织的信号时,用磁共振(MR)成像进行的脑形态测量受到部分体积(PV)效应的影响。本文提出了考虑7T发射磁场$(B1^{+})$不均匀性的MP2 RAGE序列PV估计模型的推广。我们的仿真实验表明,该模型的PV估计误差显著低于忽略$B1^{+}$不均匀性的相同模型所获得的误差(p<0.0001)。与非$B1^{+}$模型(acc=69.8%, prec=65.4%)相比,$B1^{+}$模型的准确度和精密度(acc=92.0%, prec=89.6%)显著提高。这突出了在MP2RAGE数据上计算PV时考虑$B1^{+}$不均匀性的重要性,否则将限制7T脑形态测量的准确性。
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