标题： X-核磁共振波谱成像的敏感度图估计 显示英文标题

标题： Estimating Sensitivity Maps for X-Nuclei Magnetic Resonance Spectroscopic Imaging

摘要： 本研究的目的是在成像X-核时估算敏感度图，这些X-核在整个视野中可能没有显著的存在。我们提出通过求解一个最小二乘问题来估算线圈的敏感度，其中每一行对应于给定体素的敏感度的单独估计。多个估计来自光谱的多个区间（通过光谱学）、动态成像的多个时间点，或利用光谱激发时的多个频率。本文中提出的方法称为L2最优方法，与常用的RefPeak方法进行了比较，该方法使用能量最高的光谱区间来估算敏感度图。当成像数值幻象时，L2最优方法能产生更准确的敏感度图，并且在使用超极化丙酮酸作为对比剂进行超极化MRI成像大脑、胰腺和心脏时，显示出更高的信噪比。L2最优方法能够通过从测量中提取更多信息来更好地估算敏感度。 显示英文摘要

摘要： The purpose of this research is to estimate sensitivity maps when imaging X-nuclei that may not have a significant presence throughout the field of view. We propose to estimate the coil's sensitivities by solving a least-squares problem where each row corresponds to an individual estimate of the sensitivity for a given voxel. Multiple estimates come from the multiple bins of the spectrum with spectroscopy, multiple times with dynamic imaging, or multiple frequencies when utilizing spectral excitation. The method presented in this manuscript, called the L2 optimal method, is compared to the commonly used RefPeak method which uses the spectral bin with the highest energy to estimate the sensitivity maps. The L2 optimal method yields more accurate sensitivity maps when imaging a numerical phantom and is shown to yield a higher signal-to-noise ratio when imaging the brain, pancreas, and heart with hyperpolarized pyruvate as the contrast agent with hyperpolarized MRI. The L2 optimal method is able to better estimate the sensitivity by extracting more information from the measurements.