Compartment-specific estimation of T2 and T2* with diffusion-PEPTIDE MRI

Ting Gong, Merlin J. Fair, Kawin Setsompop, Hui Zhang
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Abstract

We present a microstructure imaging technique for estimating compartment-specific T2 and T2* simultaneously in the human brain. Microstructure imaging with diffusion MRI (dMRI) has enabled the modelling of intra-neurite and extra-neurite diffusion signals separately allowing for the estimation of compartment-specific tissue properties. These compartment-specific properties have been widely used in clinical studies. However, conventional dMRI cannot disentangle differences in relaxations between tissue compartments, causing biased estimates of diffusion measures which also change with TE. To solve the problem, combined relaxometry-diffusion imaging methods have been developed in recent years, providing compartmental T2-diffusion or T2*-diffusion imaging respectively, but not T2 and T2* together. As they provide complementary information, a technique that can estimate both jointly with diffusion is appealing to neuroimaging studies. The aim of this work is to develop a method to map compartmental T2-T2*-diffusion simultaneously. Using an advanced MRI acquisition called diffusion-PEPTIDE, a novel microstructure model is proposed and a multi-step fitting method is developed to estimate parameters of interest. We demonstrate for the first time that compartmental T2, T2* can be estimated simultaneously from in vivo data. we further show the accuracy and precision of parameter estimation with simulation.
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利用弥散-PEPTIDE MRI 对 T2 和 T2* 进行分区估算
我们提出了一种微结构成像技术,用于同时估算人脑中特定区室的 T2 和 T2*。微结构成像与弥散核磁共振成像(dMRI)相结合,可分别对内次元和外次元弥散信号进行建模,从而估算特定区室的组织特性。然而,传统的 dMRI 无法区分组织间弛豫的差异,从而导致对扩散测量值的估计出现偏差,而扩散测量值也会随 TE 的变化而变化。为了解决这个问题,近年来开发了弛豫测量-扩散成像相结合的方法,分别提供分区 T2-扩散或 T2* 扩散成像,但不能同时提供 T2 和 T2*。由于它们能提供互补的信息,因此一种能与弥散共同估算两者的技术对神经成像研究很有吸引力。这项工作的目的是开发一种同时绘制分区 T2-T2* 扩散图的方法。利用一种名为扩散-PEPTIDE的先进核磁共振成像采集技术,我们提出了一个高级微结构模型,并开发了一种多步骤拟合方法来估算相关参数。我们首次证明可以通过体内数据同时估算分区 T2、T2*。
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