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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 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...

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High Resolution 3D Imaging of Ex-Vivo Biological Samples by Micro CT
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Development of DICOM image-based CT low dose simulator using fan-beam transform.

Tetsuya Horiuchi1, Shuji Yamamoto, Kenya Murase

  • 1Department of Medical Physics and Engineering, Division of Medical Technology and Science, Course of Health Science, Graduate School of Medicine, Osaka University, Osaka, Japan Department of Radiology, National Center for Child Health and Development, Tokyo, Japan.

Technology and Health Care : Official Journal of the European Society for Engineering and Medicine
|September 6, 2013
PubMed
Summary

Researchers developed an image-based method to simulate low-dose computed tomography (CT) noise, enabling independent research without manufacturer cooperation. This validated technique accurately reproduces noise characteristics for dose reduction studies.

Keywords:
CTComputed tomographycomputer simulationdose reductionnoise

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Area of Science:

  • Medical Imaging
  • Radiological Physics
  • Computational Imaging

Background:

  • Traditional projection-data based methods for low-dose CT simulation require CT manufacturer cooperation, limiting independent research.
  • An image-based approach is needed for efficient and independent research into low-dose CT imaging techniques.

Purpose of the Study:

  • To develop and validate an image-based method for simulating noise in DICOM (Digital Imaging and Communications in Medicine) images.
  • To enable independent and efficient research into low-dose CT protocols.

Main Methods:

  • The developed technique reconstructs projection data from DICOM images using fan-beam transform.
  • Noise projections are generated and reconstructed into a noise image, which is then added to the original image.
  • Validation was performed using cylindrical and anthropomorphic phantoms with standard and adaptive iterative reconstruction methods.

Main Results:

  • Simulated low-dose CT images showed favorable comparison with actual images.
  • Standard deviation differences were minimal, ranging from 1.27% ± 0.81% for a cylindrical phantom to 5.41% ± 1.57% for the hepatic portal region in an anthropomorphic phantom.
  • Simulated noise power spectra closely matched those of actual images, indicating successful noise reproduction.

Conclusions:

  • A DICOM image-based method for simulating low-dose CT has been successfully developed and validated.
  • This simulation technique empowers researchers to conduct dose reduction studies independently and efficiently.