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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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Mitigating artifacts by data driven identification & correction of rotational misalignment in gamma ray computed

Rajesh Acharya1, Umesh Kumar2, V H Patankar3

  • 1Isotope & Radiation Application Division, Bhabha Atomic Research Centre, Mumbai, 400085, India; Homi Bhabha National Institute, Anushakti Nagar, Mumbai, 400094, India.

Applied Radiation and Isotopes : Including Data, Instrumentation and Methods for Use in Agriculture, Industry and Medicine
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Summary

Industrial Computed Tomography (ICT) uses gamma radiation for imaging dense materials. A new cross-correlation software method corrects mechanical misalignments in ICT systems without calibration, improving image reconstruction.

Keywords:
Computed tomographyGamma ray CTProcess tomographyScintillation detector

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Area of Science:

  • Industrial applications of Computed Tomography (CT)
  • Radiation-based imaging techniques
  • Materials science and non-destructive testing

Background:

  • Industrial Computed Tomography (ICT) is a cross-sectional imaging technique using radiation.
  • Higher energy gamma radiation sources (e.g., Co60) are often necessary for inspecting dense or thick materials.
  • Mechanical misalignments in ICT systems can cause significant image artifacts, particularly with discrete detectors.

Purpose of the Study:

  • To develop and validate a software-based correction method for mechanical misalignments in gamma-ray based ICT systems.
  • To improve the quality of CT reconstructions obtained with limited data and discrete detectors.
  • To provide a calibration-free correction method applicable to parallel beam CT geometry.

Main Methods:

  • A cross-correlation based software correction algorithm was developed.
  • The method was applied to a transmission ICT system using a gamma-ray source and NaI(Tl) scintillation detector.
  • The technique was validated using both mathematical simulations and experimental data acquisition.

Main Results:

  • The proposed cross-correlation method effectively corrects artifacts caused by mechanical misalignments in the ICT system.
  • The software correction does not require prior calibration of the setup or knowledge of sample properties.
  • Improved CT reconstructions were achieved, demonstrating the efficacy of the data-driven approach.

Conclusions:

  • A robust, calibration-free software correction method has been presented for ICT systems utilizing gamma radiation.
  • The cross-correlation technique significantly enhances the analytical utility of ICT data by mitigating misalignment artifacts.
  • This approach offers a practical solution for improving image quality in industrial non-destructive testing applications.