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Erschienen in: Molecular Imaging and Biology 4/2020

19.12.2019 | Research Article

Optimization of Keyhole Imaging Parameters for Glutamate Chemical Exchange Saturation Transfer MRI at 7.0 T

verfasst von: Dong-Hoon Lee, Do-Wan Lee, Chul-Woong Woo, Jae-Im Kwon, Jeong Kon Kim, Kyung Won Kim, Dong-Cheol Woo

Erschienen in: Molecular Imaging and Biology | Ausgabe 4/2020

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Abstract

Purpose

To evaluate the effects of a reference image and keyhole factor (Kf) selections for high-frequency substitution on keyhole imaging technique for applications in glutamate chemical exchange saturation transfer (GluCEST) imaging.

Procedures

The CEST data were obtained using a 7.0 T MRI scanner. We used varied Kf ranges that constituted from 16.67 to 75 % of the full k-space. The reference image was respectively selected for − 3 and + 3 ppm images that associated with the GluCEST calculation and the unsaturated image. The zero-padding algorithm was applied for the missing k-space lines in the low-frequency data collected to compare the results obtained from using the keyhole imaging technique. All the techniques were evaluated using a healthy rat group and extended to the status epilepticus rat group to explore their applicability and usability.

Results

The calculated GluCEST signals and visually inspected results from the reconstructed GluCEST maps indicated that the combination of unsaturated image as a reference image, and over 50 % of Kf showed consistent signals and image quality compared with the fully sampled CEST data.

Conclusions

Combining the keyhole imaging technique with GluCEST imaging enables stable image reconstruction and quantitative evaluation, and this approach is potentially applicable in various CEST imaging applications.
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Metadaten
Titel
Optimization of Keyhole Imaging Parameters for Glutamate Chemical Exchange Saturation Transfer MRI at 7.0 T
verfasst von
Dong-Hoon Lee
Do-Wan Lee
Chul-Woong Woo
Jae-Im Kwon
Jeong Kon Kim
Kyung Won Kim
Dong-Cheol Woo
Publikationsdatum
19.12.2019
Verlag
Springer International Publishing
Erschienen in
Molecular Imaging and Biology / Ausgabe 4/2020
Print ISSN: 1536-1632
Elektronische ISSN: 1860-2002
DOI
https://doi.org/10.1007/s11307-019-01461-z

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