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Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
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For solids whose cross-sectional areas vary in a predictable way, volume can be determined by integrating these areas along an axis perpendicular to the slices. This approach is particularly useful for polyhedral solids, where classical geometric formulas may not be immediately applicable. A tetrahedron provides a clear example of how cross-sectional integration can be applied to a three-dimensional object with continuously changing geometry.Consider a tetrahedron with height h and a base that...
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Radiological Investigation II: MRI and Ventilation Perfusion Scan01:30

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Magnetic Resonance Imaging (MRI) and Ventilation Perfusion Scans are two radiological investigations that offer detailed diagnostic images of the body, particularly lung structures.
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Imaging Studies III: Computed Tomography01:27

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DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
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German physicist Wilhelm Röntgen (1845–1923) was experimenting with electrical current when he discovered that a mysterious and invisible "ray" would pass through his flesh but leave an outline of his bones on a screen coated with a metal compound. In 1895, Röntgen made the first durable record of the internal parts of a living human: an "X-ray" image (as it came to be called) of his wife’s hand. Scientists worldwide quickly began their own experiments with...
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Array Tomography Workflow for the Targeted Acquisition of Volume Information using Scanning Electron Microscopy
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The coil array method for creating a dynamic imaging volume.

Elliot Smith1, Fabio Freschi1,2, Maurizio Repetto1,2

  • 1School of ITEE, University of Queensland, St Lucia, Queensland, Australia.

Magnetic Resonance in Medicine
|September 9, 2016
PubMed
Summary
This summary is machine-generated.

A novel coil array method enables moving the magnetic resonance imaging (MRI) imaging region, reducing peripheral nerve stimulation (PNS) and enabling faster scans for image-guided therapies like MRI-linacs.

Keywords:
PNScoil arraygradient coillocal encoding

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Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Medical Physics
  • Biomedical Engineering

Background:

  • Peripheral nerve stimulation (PNS) limits gradient strength and speed in MRI.
  • Faster imaging is crucial for image-guided therapies, such as MRI-guided linear accelerators (MRI-linacs).

Purpose of the Study:

  • To investigate a coil array method for moving the gradient field across the imaging area.
  • To reduce PNS and enable faster imaging in MRI systems.

Main Methods:

  • Designed a coil array using singular value decomposition (SVD) and electromagnetic modes.
  • Constructed and tested two whole-body coils and one experimental coil.
  • Compared experimental results with simulated field profiles.

Main Results:

  • The experimental coil's region of uniformity (ROU) successfully moved along the z-axis.
  • Maximum field deviation was 16.9% at the ROU edge with a 35 mm shift.
  • Whole-body coils achieved median field deviation below 5% with an eight-coil SVD design.

Conclusions:

  • Experimental validation of the coil array method for a movable imaging region in MRI.
  • Demonstrated feasibility with a low number of coils.
  • Paves the way for enhanced MRI-guided therapies.