ArticleNeuroImage2020
A 16-channel AC/DC array coil for anesthetized monkey whole-brain imaging at 7T.
Article in NeuroImage, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 32 citations in OpenAlex.
- A Hybrid RF Coil for Whole-Brain Imaging in Non-Human Primates at 7 T.Magnetic resonance in medicine · 2026Article
- Practical utilization of nonlinear spatial encoding: Fast field mapping and FRONSAC-wave.Magnetic resonance in medicine · 2024Article
- Reliable Off-Resonance Correction in High-Field Cardiac MRI Using Autonomous Cardiac BBioengineering (Basel, Switzerland) · 2024Article
- Advancements in MR hardware systems and magnetic field control: BPsychoradiology · 2024Review
- 3D FRONSAC with PSF reconstruction.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2023Article
- Hybrid active and passive local shimming (HAPLS) for two-region MRI.Magnetic resonance in medicine · 2023Article
- Analysis of coil element distribution and dimension for matrix gradient coils.Magma (New York, N.Y.) · 2022Article
- A patient-friendly 16-channel transmit/64-channel receive coil array for combined head-neck MRI at 7 Tesla.Magnetic resonance in medicine · 2022Article
- Recent Advances in Radio-Frequency Coil Technologies: Flexible, Wireless, and Integrated Coil Arrays.Journal of magnetic resonance imaging : JMRI · 2022Review
- A 31-channel integrated "AC/DC" BMagnetic resonance in medicine · 2022Article
- Application of an integrated radio-frequency/shim coil technology for signal recovery in fMRI.Magnetic resonance in medicine · 2021Article
- Minimal specifications for non-human primate MRI: Challenges in standardizing and harmonizing data collection.NeuroImage · 2021Article
- Using non-invasive neuroimaging to enhance the care, well-being and experimental outcomes of laboratory non-human primates (monkeys).NeuroImage · 2021Review
Corrections and comments
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Authors and funding
11 authors at 6 institutions in 2 countries.
Funding
Abstract
Functional magnetic resonance imaging (fMRI) in monkeys is important for bridging the gap between invasive animal brain studies and non-invasive human brain studies. To resolve the finer functional structure of the monkey brain, ultra-high-field (UHF) MR is essential, and high-performance, close-fitting RF receive coils are typically desired to fully leverage the intrinsic gains provided by UHF MRI. Moreover, static field (B0) inhomogeneity arising from the tissue susceptibility interface is more severe at UHF, presenting an obstacle to achieving high-resolution fMRI. B0 shim of the monkey head is challenging due to its smaller size and more complex sources of B0 offsets in multi-modal imaging tasks. In the present work, we have customized an array coil for lightly-anesthetized monkey fMRI in the 7T human scanner that combines RF and multi-coil (MC) B0 shim functionality (also referred to as AC/DC coils) to provide high imaging SNR and high-spatial-order, rapidly switchable B0-shim capability. Additional space was retained on the coil to render it compatible with monkey multi-modal imaging studies. Both MC global (whole-volume) and dynamic (slice-optimized) shim methods were tested and evaluated, and the benefits of MC shim for fMRI experiments was also studied. A minor reduction in RF coil performance was found after introducing additional B0 shim circuitry. However, the proposed RF coil provided higher image SNR and more uniform contrast compared to a commercially available coil for human knee imaging. Compared with static 2nd-order shim, the B0 inhomogeneity was reduced by 56.8%, and 95-percentile B0 offset was reduced to within 28.2 Hz through MC shim, versus 68.7 Hz with 2nd-order static shim. As a result, functional image quality could be improved, and brain activation can be better detected using the proposed AC/DC monkey coil.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.