Time domain removal of irrelevant magnetization in chemical exchange saturation transfer Z-spectra

被引:9
作者
Yadav, Nirbhay N. [1 ,2 ]
Chan, Kannie W. Y. [1 ,3 ,4 ]
Jones, Craig K. [1 ,2 ]
McMahon, Michael T. [1 ,2 ]
van Zijl, Peter C. M. [1 ,2 ]
机构
[1] Johns Hopkins Univ, Sch Med, Russell H Morgan Dept Radiol & Radiol Sci, Baltimore, MD 21205 USA
[2] Kennedy Krieger Res Inst, FM Kirby Res Ctr Funct Brain Imaging, Baltimore, MD USA
[3] Inst Cell Engn, Cellular Imaging Sect, Baltimore, MD USA
[4] Inst Cell Engn, Vasc Biol Program, Baltimore, MD USA
关键词
CEST; time domain analysis; magnetization transfer; discrete inverse Fourier transform; MRI CONTRAST AGENT; IN-VIVO; PARACEST AGENTS; PROTON-EXCHANGE; TRANSFER CEST; PH; RESONANCE; WATER; SPECTROSCOPY; PEPTIDES;
D O I
10.1002/mrm.24812
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Purpose: To evaluate the possibility of processing Z-spectra using time domain analysis. Methods: An inverse Fourier transform (IFT) is applied on Z-spectra, thus transforming the chemical exchange saturation transfer (CEST) data into the time domain. Here, large interfering signals from solvent and semisolid magnetization transfer can be fit and filtered out. The method is demonstrated on a range of phantoms (creatine, a para-CEST agent, and hen egg white) and also in vivo on a mouse brain. Results: Using time domain analysis, signal components in Z-spectra could be fit very well, thus enabling irreverent or nuisance components to be removed. The method worked equally well for samples in a solution or a gel where the large contribution from conventional magnetization transfer contrast (MTC) was easily separated out. Results from egg white and mouse brain in vivo data showed that the large water resonance could easily be removed thus allowing the remaining signal to be analyzed without interference from direct water saturation. Conclusions: This method successfully filtered out the large nuisance signals from bulk water and MTC in Z-spectra in a large variety of phantom types and also in vivo. It is expected to be a potentially powerful tool for CEST studies without needing asymmetry analysis. (C) 2013 Wiley Periodicals, Inc.
引用
收藏
页码:547 / 555
页数:9
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