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提高化学交换和转移MRI的量化准确度,使用基于空间光谱冗余的无光化方法

Xinran Chen¹, Jian Wu¹, Yu Yang¹

¹Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, School of Electronic Science and Engineering, National Model Microelectronics College, Xiamen University, Xiamen, China.

NMR in biomedicine

|August 29, 2023

概括

一种新的消噪方法,BOOST,提高了化学交换和转移 (CEST) 成像中的信号噪声比. 这提高了检测活组织中低度代谢物的量化准确性.

科学领域:

生物医学成像技术生物医学成像技术
磁共振成像是一种磁共振成像技术.
代谢学代谢学代谢学

背景情况:

化学交换和转移 (CEST) 能够在体内进行低度内源代谢物的非侵入性检测.
由于自旋转转移减少水信号,CEST成像面临信号噪声比 (SNR) 低的挑战.
这种SNR限制阻碍了CEST成像中的准确和可靠的量化.

研究的目的:

引入BOOST (subBspace denoising with nOnlocal lOw-rank constraint and Spectral local-smoothness regularization),一种新的空间-光谱表示方法. 这是一个新的空间-光谱表示方法.
提高CEST图像的SNR,提高量化准确度.
通过各种条件和磁场强度验证该方法的效率和稳定性.

主要方法:

使用全球光谱低等级先验将杂的CEST图像分解成一个低维子空间.
在子空间图像之前应用空间非局部自我相似性.
通过加权的光谱总变化约束,将光谱局部光滑度纳入.

主要成果:

与最先进的算法相比,BOOST证明了优越的消除噪音.
该方法在数值模拟,临床前和临床环境中得到了验证.
在一系列磁场强度 (3.0到11.7 T) 中显示了有效性.

结论:

BOOST显著提高了CEST成像中的SNR和定量精度.
这是一种具有成本效益和广泛可用的后加工技术.
可以将BOOST集成到现有的CEST协议中,以改善微妙的CEST效应的检测.

关键词:

在CEST中,CEST是CEST.拒绝使用,拒绝使用.低级别的低级别的地位.非局部的自我相似性量化准确性的量化准确性信号与噪声的比率.

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