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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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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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Related Experiment Video

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3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography
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Iterative image reconstruction using modified non-local means filtering for limited-angle computed tomography.

Hongliang Qi1, Zijia Chen1, Shuyu Wu1

  • 1Department of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.

Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)
|August 10, 2016
PubMed
Summary

A new algorithm, ART-mNLM/TV, effectively reduces edge artifacts in limited-angle CT imaging. This method utilizes modified non-local means (mNLM) to improve image quality and reduce radiation exposure.

Keywords:
Artifacts nearby edgesComputed tomographyImage reconstructionLimited-angle projectionNon-local means filtering

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Area of Science:

  • Medical Imaging
  • Image Reconstruction
  • Computed Tomography

Background:

  • Limited-angle CT imaging reduces radiation dose but suffers from artifacts.
  • Existing reconstruction methods struggle with edge artifacts due to incomplete data.

Purpose of the Study:

  • Propose a modified non-local means (mNLM) based reconstruction method to address edge artifacts.
  • Improve image quality in limited-angle CT scans.

Main Methods:

  • Iterative reconstruction combining Algebraic Reconstruction Technique (ART) with mNLM and Total Variation (TV) regularization.
  • ART-mNLM/TV algorithm utilizes artifact-free regions to restore pixels in artifact-affected areas.
  • Positivity constraint applied during iterative reconstruction.

Main Results:

  • ART-mNLM/TV demonstrated superior performance in simulations and real data.
  • Achieved over 40% improvement in Signal-to-Noise Ratio (SNR) and significant reduction in Mean Absolute Error (MAE).
  • Effectively mitigated artifacts around edges in reconstructed images.

Conclusions:

  • The proposed ART-mNLM/TV method effectively mitigates edge artifacts in limited-angle CT.
  • Leverages image-wide information redundancy for artifact correction.
  • Offers improved performance over traditional reconstruction techniques.