Development of a patch antenna array RF coil for ultra-high field MRI.

Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2007 · Unclear · Insufficient evidence

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UnclearInsufficient evidencePaper 3433

The authors developed a patch antenna array coil (PAAC) for 7T proton MR imaging and used it to image a monkey brain, confirming its utility as an RF coil for ultra-high-field MR imaging.

Study snapshot

PublicationMagnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2007
Study typeengineering
Reported directionUnclear
Evidence ratingInsufficient

Abstract

In radiofrequency (RF) coil design for ultra-high-field magnetic resonance (MR) imaging, short RF wavelengths present various challenges to creating a big volume coil. When imaging a human body using an ultra-high magnetic field MR imaging system (magnetic flux density of 7 Tesla or more), short wavelength may induce artifacts from dielectric effect and other factors. To overcome these problems, we developed a patch antenna array coil (PAAC), which is a coil configured as a combination of patch antennas. We prototyped this type of coil for 7T proton MR imaging, imaged a monkey brain, and confirmed the coil's utility as an RF coil for ultra-high-field MR imaging.

Machine Enhanced Logic

AI evidence extraction

Structured fields below were generated from the paper’s abstract and metadata to make the evidence easier to inspect. Automated extraction may be incomplete or incorrect; verify important details against the original paper.

Study typeengineering
Effect directionunclear
PopulationMonkey (brain imaging)
Sample sizeNot supplied
ExposureRF
Evidence strengthInsufficientConfidence: 66% · Peer reviewed: yes

Main findings

The authors developed a patch antenna array coil (PAAC) for 7T proton MR imaging and used it to image a monkey brain, confirming its utility as an RF coil for ultra-high-field MR imaging.

Outcomes measured

  • RF coil design/performance for ultra-high-field MRI
  • Imaging utility/feasibility (artifact reduction/coil utility)

Limitations

  • No quantitative performance metrics or comparisons are provided in the abstract.
  • Sample size and experimental details (e.g., imaging parameters, artifact measures) are not stated.
  • No RF exposure metrics (e.g., frequency, SAR) are reported in the abstract.
View raw extracted JSON
{
  "study_type": "engineering",
  "exposure": {
    "band": "RF",
    "source": "MRI RF coil",
    "frequency_mhz": null,
    "sar_wkg": null,
    "duration": null
  },
  "population": "Monkey (brain imaging)",
  "sample_size": null,
  "outcomes": [
    "RF coil design/performance for ultra-high-field MRI",
    "Imaging utility/feasibility (artifact reduction/coil utility)"
  ],
  "main_findings": "The authors developed a patch antenna array coil (PAAC) for 7T proton MR imaging and used it to image a monkey brain, confirming its utility as an RF coil for ultra-high-field MR imaging.",
  "effect_direction": "unclear",
  "limitations": [
    "No quantitative performance metrics or comparisons are provided in the abstract.",
    "Sample size and experimental details (e.g., imaging parameters, artifact measures) are not stated.",
    "No RF exposure metrics (e.g., frequency, SAR) are reported in the abstract."
  ],
  "evidence_strength": "insufficient",
  "confidence": 0.66,
  "peer_reviewed_likely": "yes",
  "keywords": [
    "RF coil",
    "patch antenna array coil",
    "PAAC",
    "7T",
    "ultra-high-field MRI",
    "proton MR imaging",
    "dielectric effect",
    "artifacts",
    "monkey brain"
  ],
  "suggested_hubs": [
    {
      "slug": "mri-rf-coils",
      "weight": 0.9,
      "reason": "Engineering development of an RF coil (patch antenna array) for 7T MRI."
    }
  ]
}
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AI-extracted fields are generated from the abstract and metadata and may be incomplete or incorrect. This material is for informational purposes and is not medical advice.

Identifiers and source

DOI: 10.2463/mrms.6.231
PubMed: 18239360

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