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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.
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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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Calcium-Scoring CT ScanA calcium-scoring CT scan, also known as coronary artery calcium (CAC) scan, detects calcium deposits in the coronary arteries. This test assesses the risk of coronary artery disease (CAD), which can lead to cardiovascular events such as angina, heart failure, and sudden cardiac arrest.A calcium-scoring CT scan is generally recommended for individuals at intermediate risk of CAD without symptoms. It includes:Men aged 40-75 and women aged 50-75: Especially those with a...
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A Web-Based Software Platform for Efficient and Quantitative CT Image Quality Assessment and Protocol Optimization.

Mingdong Fan1, Theodore Thayib1, Liqiang Ren1

  • 1Department of Radiology, Mayo Clinic, Rochester, MN, 55901, USA.

Proceedings of Spie--The International Society for Optical Engineering
|May 14, 2021
PubMed
Summary
This summary is machine-generated.

A new web platform, CTPro, now offers an accessible Channelized Hotelling observer (CHO) tool for objective CT image quality assessment. This platform simplifies complex measurements, aiding clinical research and protocol optimization.

Keywords:
Image quality assessmentchannelized Hotelling observer (CHO)protocol optimizationradiation dose reduction

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Area of Science:

  • Medical Imaging Physics
  • Radiology Informatics
  • Quantitative Imaging

Background:

  • Channelized Hotelling observer (CHO) is a valuable tool for objective image quality assessment in CT, correlating well with human performance.
  • Clinical adoption of CHO is limited by its complexity and the lack of accessible, validated software tools.
  • Efficient tools are needed for CT image quality assessment and protocol optimization in clinical settings.

Purpose of the Study:

  • Introduce CTPro, a web-based platform for CT image quality assessment and protocol optimization.
  • Provide accessible and validated CHO tools for clinical users and researchers.
  • Demonstrate the utility of CTPro in evaluating advanced image processing techniques like CNN-based denoising.

Main Methods:

  • Developed a web-based software platform (CTPro).
  • Integrated a validated Channelized Hotelling observer (CHO) tool.
  • Included other common image quality assessment tools within the platform.
  • Demonstrated application using convolutional-neural-network (CNN)-based denoising evaluation.

Main Results:

  • CTPro provides easy access to a validated CHO tool without requiring software installation.
  • The platform simplifies complex CHO measurements and calculations for clinical users.
  • CTPro facilitated the evaluation of CNN-based denoising techniques for CT images.

Conclusions:

  • CTPro enhances the accessibility and practical application of CHO for objective CT image quality assessment.
  • The platform supports clinical research and protocol optimization by simplifying quantitative image analysis.
  • CTPro is a valuable resource for evaluating novel image processing methods in CT imaging.