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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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Precision of quantitative computed tomography texture analysis using image filtering: A phantom study for scanner

Koichiro Yasaka1, Hiroyuki Akai, Dennis Mackin

  • 1Department of Radiology, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX Departments of Radiation Oncology, Diagnostic Imaging, and Cancer Imaging and Metabolism, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL Department of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.

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|May 25, 2017
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Summary
This summary is machine-generated.

Quantitative computed tomography (CT) texture analysis shows parameter variability across scanners. Some texture parameters are robust, while others, like skewness and kurtosis, vary significantly, impacting radiomics studies.

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Area of Science:

  • Radiology
  • Medical Imaging
  • Quantitative Imaging

Background:

  • Quantitative computed tomography (CT) texture analysis is emerging for tumor heterogeneity assessment.
  • Image filtration techniques are employed to enhance texture feature extraction.
  • Radiomics studies require understanding scanner variability for reproducible results.

Purpose of the Study:

  • To evaluate the variability of quantitative CT texture parameters across different CT scanners.
  • To assess the impact of image filtration on texture parameter consistency.
  • To determine the suitability of texture parameters for radiomics using a dedicated phantom.

Main Methods:

  • A phantom with 10 texture cartridges was scanned on four CT scanners using six protocols.
  • CT texture analysis was performed on unfiltered and filtered (Laplacian of Gaussian) images.
  • Variability Index (VI) was calculated to quantify parameter differences across scanners and textures.

Main Results:

  • Mean (unfiltered) and standard deviation/entropy (filtered) showed low variability (VI < 0.044).
  • Skewness and kurtosis in filtered images (medium/coarse textures) exhibited high variability (VI > 0.430).
  • Texture parameter behavior differed significantly across CT scanners and filtration methods.

Conclusions:

  • Quantitative CT texture parameters demonstrate varying robustness across different scanners.
  • Filtration methods influence the variability of texture parameters.
  • Careful consideration of texture parameter behavior is crucial for reliable radiomics applications.