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Related Concept Videos

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.
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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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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Cardiac computed tomography (CT) scanning is an advanced cardiac imaging technique that utilizes CT technology, with or without intravenous (IV) contrast, to produce accurate cross-sectional virtual slices of specific areas of the heart, coronary circulation, and major blood vessels such as the aorta, pulmonary veins, and arteries. The computer processes these slices to generate three-dimensional images. Multidetector CT (MDCT) is a rapid form of CT scanning that captures multiple slices...
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Introduction: MRI and CT scans are crucial advancements in medical imaging techniques, playing a vital role in diagnosing conditions related to the gastrointestinal (GI) system. Each scan serves distinct purposes, targets specific areas, and requires unique nursing duties.
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Radiological Investigation I: X-ray and CT01:30

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Radiological investigations, including X-rays and computed tomography (CT) scans, are critical for diagnosing and evaluating various medical conditions. These imaging techniques provide valuable insights into the body's internal structures, aiding in the detection of abnormalities, assessment of disease progression, and development of treatment strategies. This article delves into two primary radiological investigations, chest X-rays and CT scans, outlining their purpose, procedures, and...
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Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph
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Optimal kVp Selection for Contrast CT Imaging Based on a Projection-domain Method.

Xue Rui1, Yannan Jin2, Paul F FitzGerald

  • 1CT Systems and Application Laboratory, GE Global Research Center, Niskayuna, NY.

Conference Proceedings. International Conference on Image Formation in X-Ray Computed Tomography
|September 29, 2015
PubMed
Summary

This study introduces a faster projection-domain method to optimize Computed Tomography (CT) scan dose efficiency by selecting X-ray tube voltage and filtration. Results identify optimal settings for various phantom sizes, including new contrast agents like tantalum.

Keywords:
Computed TomographyContrast ImagingOptimal Spectrum

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Area of Science:

  • Medical Imaging
  • Radiological Physics
  • Radiation Dosimetry

Background:

  • Computed Tomography (CT) usage has surged globally, increasing population radiation exposure.
  • Minimizing radiation dose in CT is crucial, with ongoing research into hardware, protocols, and algorithms.
  • Optimizing X-ray parameters like tube voltage and filtration is key for dose efficiency while maintaining image quality.

Purpose of the Study:

  • To determine optimal X-ray tube voltage and filtration for dose efficiency in CT.
  • To evaluate dose efficiency for various phantom sizes and contrast agents, including tantalum.
  • To introduce and validate a computationally efficient projection-domain dose estimation method.

Main Methods:

  • Utilized a projection-domain dose estimation method, avoiding computationally intensive Monte-Carlo simulations.
  • Analyzed dose efficiency based on contrast-to-noise ratio for different phantom sizes.
  • Included water, bone, iodine, and tantalum contrast agents in the simulations.

Main Results:

  • Identified optimal X-ray tube voltages and filtration settings for varying phantom sizes.
  • Demonstrated the feasibility of the projection-domain method for dose optimization.
  • Simulation findings were corroborated by a limited phantom study.

Conclusions:

  • The projection-domain method offers a computationally efficient approach to CT dose optimization.
  • Optimal X-ray parameters are dependent on phantom size and material composition.
  • This research provides a framework for minimizing radiation dose in CT while preserving diagnostic image quality.