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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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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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Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
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A Patch-based CBCT Scatter Artifact Correction Using Prior CT.

Xiaofeng Yang1, Tian Liu1, Xue Dong1

  • 1Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA.

Proceedings of Spie--The International Society for Optical Engineering
|October 1, 2019
PubMed
Summary
This summary is machine-generated.

A new method uses prior CT images to correct cone beam CT (CBCT) scatter artifacts. This technique significantly improves image quality, making CBCT more suitable for adaptive radiotherapy.

Keywords:
CBCTCTdeconvolutionscatter artifact correction

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Area of Science:

  • Medical Imaging
  • Radiotherapy Physics

Background:

  • Cone beam CT (CBCT) is susceptible to scatter artifacts, which degrade image quality.
  • Accurate image quality is crucial for effective adaptive radiotherapy.

Purpose of the Study:

  • To develop and evaluate a novel method for correcting CBCT scatter artifacts using prior CT images.
  • To improve the diagnostic and therapeutic utility of CBCT in radiotherapy.

Main Methods:

  • Image registration was used to align planning CT and CBCT images.
  • A Bayesian deconvolution framework with a patch-wise nonlocal mean strategy incorporated prior CT information for artifact correction.

Main Results:

  • The proposed method significantly reduced scatter artifacts in CBCT images.
  • Quantitative metrics including contrast-to-noise ratio (CNR), signal-to-noise ratio (SNR), and image spatial non-uniformity (ISN) showed substantial improvement.
  • Corrected CBCT image quality metrics closely approximated those of the planning CT images.

Conclusions:

  • The developed CT-guided correction method effectively reduces CBCT scatter artifacts.
  • This technique enhances CBCT image quality, supporting its application in adaptive radiotherapy.