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Related Concept Videos

Computed Tomography01:10

Computed Tomography

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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.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
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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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Imaging Studies II: Positron Emission Tomography and Scintigraphy01:25

Imaging Studies II: Positron Emission Tomography and Scintigraphy

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Positron Emission Tomography (PET) is a medical imaging technique that provides crucial insights into the body's physiological functions at a molecular level. It is an indispensable resource for diagnosing, staging, and monitoring various illnesses, notably cancer, neurological disorders, and cardiovascular conditions.
Fundamental Principles of PET
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Positron Emission Tomography01:29

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Positron emission tomography (PET) is a medical imaging technique involving radiopharmaceuticals — substances that emit short-lived radiation. Although the first PET scanner was introduced in 1961, it took 15 more years before radiopharmaceuticals were combined with the technique and revolutionized its potential.
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Electron Microscope Tomography and Single-particle Reconstruction01:07

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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.
Electron Tomography
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Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers
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Toward molecular imaging using spectral photon-counting computed tomography?

Stefan Sawall1, Carlo Amato1, Laura Klein2

  • 1Division of X-Ray Imaging and CT, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, Heidelberg, 69120, Baden-Württemberg, Germany; Medical Faculty, Ruprecht-Karls-University Heidelberg, Im Neuenheimer Feld 672, Heidelberg, 69120, Baden-Württemberg, Germany.

Current Opinion in Chemical Biology
|May 29, 2021
PubMed
Summary
This summary is machine-generated.

Molecular imaging using computed tomography (CT) faces challenges in sensitivity and soft tissue contrast. Spectral photon-counting detectors offer potential solutions for enhanced molecular imaging applications.

Keywords:
Computed tomographyContrast agentPhoton-counting

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Area of Science:

  • Medical imaging
  • Radiology
  • Molecular imaging

Background:

  • Molecular imaging is crucial for drug discovery, disease diagnosis, and therapy assessment.
  • Computed tomography (CT) molecular imaging is limited by low sensitivity and poor soft tissue contrast.
  • Existing imaging modalities have varying strengths and weaknesses for molecular applications.

Purpose of the Study:

  • To review the fundamentals and recent advances in CT for molecular imaging.
  • To highlight potential future preclinical and clinical applications of CT in molecular imaging.
  • To discuss future advancements in CT technology for molecular imaging.

Main Methods:

  • Review of current literature on computed tomography and molecular imaging.
  • Discussion of technical advancements, focusing on spectral photon-counting detectors.
  • Analysis of potential applications and future trends.

Main Results:

  • Computed tomography (CT) molecular imaging challenges include sensitivity and soft tissue contrast.
  • Spectral photon-counting detectors show promise for overcoming CT limitations.
  • Advances in CT technology are expanding its role in molecular imaging.

Conclusions:

  • CT, especially with new detector technology, has significant potential for molecular imaging.
  • Future advancements in CT could enhance its utility in preclinical and clinical settings.
  • Continued development is key to realizing the full potential of CT for molecular imaging.