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Related Concept Videos

Computed Tomography01:10

Computed Tomography

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...
Imaging Studies for Cardiovascular System V: CT01:28

Imaging Studies for Cardiovascular System V: CT

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...
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

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...
Imaging Studies VII: Vascular Imaging01:19

Imaging Studies VII: Vascular Imaging

DefinitionRenal angiography, also known as renal arteriography, is an imaging technique used to obtain a comprehensive view of blood flow and the vascular structure of blood vessels in the kidneys and surrounding areas.PurposeRenal angiography detects blood vessel abnormalities in the kidneys, such as aneurysms, stenosis, thrombosis, vascular tumors, and renal artery stenosis. It evaluates kidney function and guides interventional treatments like angioplasty or stent placement.Pre-Procedure...

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Contrast Enhanced Vessel Imaging using MicroCT
05:50

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Published on: January 28, 2011

Computer simulation of image intensifier-based computed tomography detector: vascular application.

R Ning1, R A Kruger

  • 1Radiology Department, University of Utah School of Medicine, Salt Lake City 84132.

Medical Physics
|March 1, 1988
PubMed
Summary
This summary is machine-generated.

Computer simulations predict that image intensifier-based computed tomography (CT) systems are feasible for vascular imaging. The primary limitation for low-contrast performance in these systems is charge-coupled device (CCD) detector readout noise.

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Area of Science:

  • Medical Imaging
  • Radiology
  • Computational Imaging

Background:

  • Conventional X-ray image intensifiers are widely used in medical imaging.
  • Computed tomography (CT) offers advanced cross-sectional imaging capabilities.
  • Integrating image intensifiers into CT systems could potentially enhance imaging performance.

Purpose of the Study:

  • To predict the low-contrast imaging performance of a computed tomography (CT) volume imager using a conventional x-ray image intensifier with a charge-coupled device (CCD) camera.
  • To model a vascular imaging task within the simulation.
  • To evaluate the impact of detector noise, x-ray exposure, analog-to-digital conversion (ADC) precision, and x-ray scatter on imaging performance.

Main Methods:

  • Computer simulation of an image intensifier-based CT system.
  • Modeling of a vascular imaging task.
  • Analysis of detector noise, exposure levels, ADC precision, and x-ray scatter effects.

Main Results:

  • The low-contrast imaging performance was primarily limited by CCD detector readout noise.
  • Exceeding approximately 100,000 detected photons/pixel/projection yielded minimal improvement in low-contrast resolution.
  • 12-bit ADC precision introduced negligible additional image noise at the tested exposures.
  • Detected x-ray scatter reduced signal-to-noise ratio and introduced cupping artifacts.

Conclusions:

  • An image intensifier-based CT system is a feasible concept from a noise perspective.
  • The system's feasibility is contingent on the specific imaging task, such as intravenous angiography.
  • Further research may be needed to optimize performance and mitigate scatter effects.