AI Article Synopsis

  • X-ray computed tomography (CT) is a key imaging technique widely used in fields like medicine, industry, and science, traditionally relying on a simple single-axis scanning method for creating images.
  • Recent innovations have focused on complex scanning geometries, such as computed laminography, which are better suited for imaging larger or differently shaped specimens.
  • The paper reviews the rapid advancements in CT technology, including new scanning methods, improved reconstruction algorithms, and enhanced computational tools that speed up the image reconstruction process.

Article Abstract

X-ray computed tomography is an established volume imaging technique used routinely in medical diagnosis, industrial non-destructive testing, and a wide range of scientific fields. Traditionally, computed tomography uses scanning geometries with a single axis of rotation together with reconstruction algorithms specifically designed for this setup. Recently there has however been increasing interest in more complex scanning geometries. These include so called X-ray computed laminography systems capable of imaging specimens with large lateral dimensions or large aspect ratios, neither of which are well suited to conventional CT scanning procedures. Developments throughout this field have thus been rapid, including the introduction of novel system trajectories, the application and refinement of various reconstruction methods, and the use of recently developed computational hardware and software techniques to accelerate reconstruction times. Here we examine the advances made in the last several years and consider their impact on the state of the art.

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http://dx.doi.org/10.3233/XST-160581DOI Listing

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