Toward more reliable measurements of NOE effects in CEST spectra at around -1.6 ppm (NOE (-1.6)) in rat brain.
Toward more reliable measurements of NOE effects in CEST spectra at around -1.6 ppm (NOE (-1.6)) in rat brain.
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DOI:
10.1002/mrm.27370
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发表时间:
2019-01
影响因子:
3.3
通讯作者:
Zu Z
中科院分区:
文献类型:
--
作者:
Zu Z
Recently, a new relayed nuclear Overhauser enhancement (rNOE) saturation transfer effect at around -1.6 ppm, termed NOE(-1.6), and its potential applications in tumor and stroke were reported by several institutes. However, there is a concern of the reproducibility of NOE(-1.6) measurements since it is not reported by many other publications. This paper aims to study the influence of typically overlooked experimental settings on the NOE(-1.6) signal, and to build a framework for more reliable measurements of NOE(-1.6) at 9.4 T. Z-spectra were obtained in rat brains. A fitting approach was performed to quantify all known saturation transfer effects except NOE(-1.6). Residual signals were obtained by removing these confounding effects from Z-spectra and used to quantify NOE(-1.6). Multiple-slice imaging was performed to study the NOE(-1.6) dependence on brain regions. The influence of euthanasia, anesthesia, breathing gases, and RF irradiation power was also evaluated. Results demonstrate that the NOE(-1.6) signal contributions are often not clearly observable in raw Z-spectra at relatively high irradiation powers due to e.g. the direct water saturation (DS) effect, but can be visualized after removing other non-specific effects; also, the NOE(-1.6) effect depends on brain region, decreases postmortem, shifts after long-duration anesthesia, and may be enhanced by increasing O2 and N2O breathing air concentrations. Since the NOE(-1.6) effect is more susceptible to the DS effect and more sensitive to physiological conditions than are other CEST effects, incorporating known sensitivities into the experimental design and data analysis is necessary to ensure more reliable NOE(-1.6) results.
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影响因子:
3.3
作者:
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通讯作者:
van Zijl, Peter C. M.
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3.3
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影响因子:
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通讯作者:
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影响因子:
3.3
作者:
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