基于线性代数建模的高加速CEST三维测量。

Yi Zhang, Hye-Young Heo, Dong-Hoon Lee, Shanshan Jiang, Xuna Zhao, Paul Bottomley, Jinyuan Zhou
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引用次数: 0

摘要

CEST MRI可以提供体内有价值的分子水平信息,但由于成像时间长,其向常规临床的转化受到阻碍。区域平均CEST测量通常足以进行定量评估,诊断和治疗评估,同时允许更短的扫描时间。近年来,基于线性代数建模(SLAM)的光谱学方法被应用于二维(2D) CEST MRI,直接获得比传统CEST更快的区隔平均测量流形。在这里,SLAM CEST方法从2D扩展到3D,并应用于加速因子高达98倍的脑肿瘤患者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Highly-accelerated CEST Measurements in Three Dimensions with Linear Algebraic Modeling.

Highly-accelerated CEST Measurements in Three Dimensions with Linear Algebraic Modeling.

Highly-accelerated CEST Measurements in Three Dimensions with Linear Algebraic Modeling.

CEST MRI can provide valuable molecular level information in vivo, but its translation to routine clinics is hindered by long imaging times. Regional average CEST measurements often suffice for quantitative evaluation, diagnosis, and treatment assessment, while allowing much shorter scan times. Recently, the spectroscopy with linear algebraic modeling (SLAM) method was adapted for CEST MRI in two dimensions (2D), directly obtaining compartmental-average measurements manifold faster than conventional CEST. Here, the SLAM CEST method is extended from 2D to 3D, and applied to patients with brain tumors with acceleration factors of up to 98-fold.

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