Journal Article FZJ-2020-02616

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The state-of-the-art and emerging design approaches of double-tuned RF coils for X-nuclei, brain MR imaging and spectroscopy: A review

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2020
Elsevier Science Amsterdam [u.a.]

Magnetic resonance imaging 72, 103 - 116 () [10.1016/j.mri.2020.07.003]

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Abstract: With the increasing availability of ultra-high field MRI systems, studying non-proton nuclei (X-nuclei), such as 23Na and 31P has received great interest. X-nuclei are able to provide insight into important cellular processes and energy metabolism in tissues and by monitoring these nuclei closely it is possible to establish links to pathological conditions and neurodegenerative diseases. In order to investigate X-nuclei, a well-designed radiofrequency (RF) system with a multi-tuned RF coil is required. However, as the intrinsic sensitivity of non-proton nuclei is lower compared to 1H, it is important to ensure that the signal-to-noise ratio (SNR) of the X-nuclei is as high as possible. This review aims to give a comprehensive overview of previous efforts, with particular focus on the design concept of multi-tuned coils, predominantly for brain applications. In order to guide the readers, the main body of the review is categorised into two parts: state-of-the art according to the single or multiple design structures and emerging technologies. A more detailed description is given in each subsection relating to the specific design approaches of, mostly, double-tuned coils, including using traps, PIN-diodes, nested and metamaterial, together with explanations of their novelties, optimal solutions and trade-offs.

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Contributing Institute(s):
  1. Physik der Medizinischen Bildgebung (INM-4)
  2. Jara-Institut Quantum Information (INM-11)
  3. Jülich-Aachen Research Alliance - Translational Brain Medicine (JARA-BRAIN)
Research Program(s):
  1. 573 - Neuroimaging (POF3-573) (POF3-573)

Appears in the scientific report 2020
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Open Access

 Datensatz erzeugt am 2020-07-22, letzte Änderung am 2021-01-30


Published on 2020-07-09. Available in OpenAccess from 2021-07-09.:
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