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Computed Tomography01:10

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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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Transmission electron microscopy (TEM) can be used to determine the 3D structure of biological samples with the help of techniques such as electron microscope tomography and single-particle reconstruction. While single-particle reconstruction can examine macromolecules and macromolecular complexes in vitro conditions only, tomography permits the study of cell components or small cells in vivo.
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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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Material Separation Using Dual-Energy CT: Current and Emerging Applications.

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Dual-energy computed tomography (CT) creates material-specific images, enhancing lesion detection by isolating iodine and other substances. This advanced CT technology improves diagnostic accuracy and can reduce radiation dose.

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Area of Science:

  • Radiology and Imaging Science
  • Medical Physics
  • Materials Science in Medicine

Background:

  • Single-energy CT has limitations in differentiating materials and assessing tissue composition.
  • Dual-energy (DE) computed tomography (CT) utilizes varying x-ray energy levels to characterize materials based on their unique properties.
  • DE CT provides advanced imaging capabilities beyond conventional CT.

Purpose of the Study:

  • To highlight the capabilities of DE CT in generating material-specific images.
  • To demonstrate the advantages of DE CT in iodine characterization and virtual noncontrast imaging.
  • To explore the potential of DE CT in assessing various material compositions and reducing radiation dose.

Main Methods:

  • Acquisition of dual-energy datasets at different x-ray energy levels.
  • Application of algorithms to differentiate materials based on atomic number (Z) and mass attenuation coefficients.
  • Generation of material-specific images (e.g., iodine-only, calcium, fat) and virtual monochromatic images.

Main Results:

  • DE CT enables the creation of iodine-specific images, significantly improving contrast and lesion detection in the abdomen.
  • Virtual noncontrast images can be generated by computationally removing iodine's influence.
  • Separation of materials like calcium, fat, and uric acid allows for assessment of metabolic conditions and abnormal depositions.
  • DE CT expands diagnostic information and may reduce radiation exposure by potentially decreasing the need for multiphasic scans.

Conclusions:

  • DE CT offers significant advancements over single-energy CT by providing material-specific and functional information.
  • Its ability to characterize iodine and other materials enhances diagnostic accuracy and lesion detection.
  • DE CT has broad clinical applications, improving the role of CT in medical imaging and potentially optimizing radiation dose.