A new Image Reconstruction Algorithm for Magnetic Resonance Electrical Impedance Tomography Using one Component of Measured Magnetic Field.

Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference · 2005 · Unclear · Insufficient evidence

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UnclearInsufficient evidencePaper 3534

The paper proposes a new conductivity image reconstruction algorithm for MR-EIT that does not require mechanical rotation of the imaged object and can reconstruct conductivity distributions at an oblique slice. The approach is described as more applicable tha…

Study snapshot

PublicationConference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference · 2005
Study typeengineering
Reported directionUnclear
Evidence ratingInsufficient

Abstract

In this paper, a new conductivity images reconstruction algorithm for Magnetic Resonance Electrical Impedance Tomography (MR-EIT) is proposed. The algorithm doesn't need to rotate mechanically the imaged object and can image the conductivity distribution of object at oblique slice. The proposed reconstruction algorithm in this paper is more applicable than other MR-EIT reconstruction algorithms using one component of magnetic flux density. It is not necessary that the main magnetic field is perpendicular to the imaging slice, and so can be used for permanent MRI scanners as well as superconductive MRI scanners.

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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
PopulationNot supplied
Sample sizeNot supplied
ExposureNot supplied
Evidence strengthInsufficientConfidence: 66% · Peer reviewed: yes

Main findings

The paper proposes a new conductivity image reconstruction algorithm for MR-EIT that does not require mechanical rotation of the imaged object and can reconstruct conductivity distributions at an oblique slice. The approach is described as more applicable than other MR-EIT algorithms using one component of magnetic flux density and does not require the main magnetic field to be perpendicular to the imaging slice.

Outcomes measured

  • conductivity image reconstruction algorithm for MR-EIT
  • ability to reconstruct conductivity distribution without mechanical rotation
  • imaging at oblique slice using one component of magnetic flux density
View raw extracted JSON
{
  "study_type": "engineering",
  "exposure": {
    "band": null,
    "source": "MRI (Magnetic Resonance Electrical Impedance Tomography)",
    "frequency_mhz": null,
    "sar_wkg": null,
    "duration": null
  },
  "population": null,
  "sample_size": null,
  "outcomes": [
    "conductivity image reconstruction algorithm for MR-EIT",
    "ability to reconstruct conductivity distribution without mechanical rotation",
    "imaging at oblique slice using one component of magnetic flux density"
  ],
  "main_findings": "The paper proposes a new conductivity image reconstruction algorithm for MR-EIT that does not require mechanical rotation of the imaged object and can reconstruct conductivity distributions at an oblique slice. The approach is described as more applicable than other MR-EIT algorithms using one component of magnetic flux density and does not require the main magnetic field to be perpendicular to the imaging slice.",
  "effect_direction": "unclear",
  "limitations": [],
  "evidence_strength": "insufficient",
  "confidence": 0.66,
  "peer_reviewed_likely": "yes",
  "keywords": [
    "MR-EIT",
    "Magnetic Resonance Electrical Impedance Tomography",
    "image reconstruction",
    "conductivity imaging",
    "magnetic flux density",
    "MRI scanners"
  ],
  "suggested_hubs": [
    {
      "slug": "engineering",
      "weight": 0.78,
      "reason": "Focuses on an image reconstruction algorithm for MR-EIT/MRI rather than health effects."
    }
  ]
}
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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: 10.1109/iembs.2005.1616729
PubMed: 17282498

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