X-ray computed tomography

J. Jan

Published 2019 in Machine Learning for Tomographic Imaging

ABSTRACT

Computed tomography (CT) is a non-destructive X-ray imaging method, which allows to visualize three-dimensional X-ray absorption properties of an object. In this lab course you will learn the basics about X-ray imaging and computed tomography using a simple CT setup. Next to theoretical and experimental basics of X-ray imaging and radiography, you will get an idea how CT reconstruction using filtered backprojection (FBP) works and how typical reconstruction artifacts look like. You may also bring along your own sample to be scanned (max. 4 cm in diameter and max. 3 cm in height, nonmetallic). You do not need to print this manual since a printout is available at the experimental setup.

PUBLICATION RECORD

  • Publication year

    2019

  • Venue

    Machine Learning for Tomographic Imaging

  • Publication date

    2019-08-30

  • Fields of study

    Materials Science, Physics, Engineering

  • Identifiers
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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