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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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Construction of a Preclinical Multimodality Phantom Using Tissue-mimicking Materials for Quality Assurance in Tumor Size Measurement
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Quantitative Assessment of Variation in CT Parameters on Texture Features: Pilot Study Using a Nonanatomic Phantom.

K Buch1, B Li1, M M Qureshi1,2

  • 1From the Departments of Radiology (K.B., B.L., M.M.Q., H.K., S.W.A., O.S.).

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|March 26, 2017
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Summary
This summary is machine-generated.

Computed tomography (CT) texture features are sensitive to changes in section thickness, acquisition mode, and detector array configuration. Milliampere and kilovolt variations did not significantly impact these texture features in phantom scans.

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Area of Science:

  • Radiology
  • Medical Imaging
  • Image Analysis

Background:

  • Texture analysis in CT imaging provides quantitative insights into tissue characteristics.
  • Understanding the impact of imaging parameters on texture features is crucial for reproducible and reliable analysis.

Purpose of the Study:

  • To evaluate how variations in computed tomography (CT) scanning parameters affect texture features.
  • To identify which CT parameters significantly influence texture feature extraction for phantom imaging.

Main Methods:

  • A phantom was scanned using varying CT parameters: milliampere, kilovolt, section thickness, pitch, and acquisition mode.
  • Forty-two texture features were extracted using a custom Matlab program.
  • Statistical analyses, including two-tailed t-tests and false-detection analyses, were performed to assess significance.

Main Results:

  • Significant differences in texture features were observed with changes in detector array configurations (Q values = 0.001–0.006).
  • Section thickness variations also led to significant texture feature changes (Q values = 0.0002–0.001).
  • Acquisition mode significantly affected texture features (Q values = 0.003–0.006), while milliampere and kilovolt did not show significant effects.

Conclusions:

  • CT texture features are significantly influenced by section thickness, acquisition mode, and detector array configuration.
  • Milliampere and kilovolt settings have a negligible impact on CT texture features in this phantom study.
  • These findings are essential for standardizing CT protocols to ensure the consistency of texture analysis in clinical applications.