MULTI-ECHO RECOVERY WITH FIELD INHOMOGENEITY COMPENSATION USING STRUCTURED LOW-RANK MATRIX COMPLETION.

Stephen Siemonsma, Stanley Kruger, Arvind Balachandrasekaran, Merry Mani, Mathews Jacob
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Abstract

Echo-planar imaging (EPI), which is the main workhorse of functional MRI, suffers from field inhomogeneity-induced geometric distortions. The amount of distortion is proportional to the readout duration, which restricts the maximum achievable spatial resolution. The spatially varying nature of the T 2 * decay makes it challenging for EPI schemes with a single echo time to obtain good sensitivity to functional activations in different brain regions. Despite the use of parallel MRI and multislice acceleration, the number of different echo times that can be acquired in a reasonable TR is limited. The main focus of this work is to introduce a rosette-based acquisition scheme and a structured low-rank reconstruction algorithm to overcome the above challenges. The proposed scheme exploits the exponential structure of the time series to recover distortion-free images from several echoes simultaneously.

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采用结构化低秩矩阵补全技术进行场非均匀性补偿的多回波恢复。
回声平面成像(EPI)是功能性核磁共振成像的主要技术手段,它存在由场不均匀性引起的几何畸变。畸变量与读出持续时间成正比,这限制了可实现的最大空间分辨率。t2 *衰减的空间变化性质使得具有单一回波时间的EPI方案难以获得对不同脑区功能激活的良好灵敏度。尽管使用了平行MRI和多层加速,但在合理的TR中可以获得的不同回声时间的数量是有限的。本文的主要工作重点是引入基于玫瑰花的采集方案和结构化低秩重构算法来克服上述挑战。该方案利用时间序列的指数结构,同时从多个回波中恢复无失真图像。
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