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Related Concept Videos

X-ray Imaging01:24

X-ray Imaging

German physicist Wilhelm Röntgen (1845–1923) was experimenting with electrical current when he discovered that a mysterious and invisible "ray" would pass through his flesh but leave an outline of his bones on a screen coated with a metal compound. In 1895, Röntgen made the first durable record of the internal parts of a living human: an "X-ray" image (as it came to be called) of his wife’s hand. Scientists worldwide quickly began their own experiments with X-rays, and by 1900, X-ray was widely...
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Computed Tomography

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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Updated: Jun 19, 2026

X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging
08:30

X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging

Published on: September 11, 2011

An FBP image reconstruction algorithm for x-ray differential phase contrast CT.

Zhihua Qi1, Guang-Hong Chen

  • 1Department of Medical Physics, University of Wisconsin-Madison, Madison, WI 53704.

Proceedings of Spie--The International Society for Optical Engineering
|October 14, 2009
PubMed
Summary
This summary is machine-generated.

A new filtered backprojection algorithm reconstructs x-ray differential phase contrast computed tomography (DPC-CT) images from divergent beam data. This method accurately images the refractive index decrement using a Talbot-Lau interferometer.

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Area of Science:

  • Medical Imaging
  • X-ray Physics
  • Computational Imaging

Background:

  • X-ray differential phase contrast computed tomography (DPC-CT) offers enhanced material contrast.
  • Existing DPC-CT methods often use parallel beam acquisition, which is not ideal for divergent sources.
  • A novel data acquisition method using a conventional x-ray tube and Talbot-Lau interferometer has been developed for DPC-CT.

Purpose of the Study:

  • To address the image reconstruction challenges posed by divergent beam data acquisition in DPC-CT.
  • To develop and validate a filtered backprojection algorithm for direct DPC-CT image reconstruction.
  • To enable accurate reconstruction of the decrement of the real part of the refractive index.

Main Methods:

  • Development of a filtered backprojection algorithm tailored for divergent beam DPC-CT data.
  • Acquisition of projection data using a conventional x-ray tube and a Talbot-Lau interferometer.
  • Numerical simulations were performed to validate the reconstruction algorithm's accuracy.

Main Results:

  • The developed filtered backprojection algorithm successfully reconstructs DPC-CT images directly from acquired projection data.
  • The algorithm accurately reconstructs the decrement of the real part of the refractive index.
  • Data acquisition over an angular range of at least 180° plus the fan-angle is necessary for accurate reconstruction.

Conclusions:

  • A novel filtered backprojection algorithm effectively reconstructs DPC-CT images from divergent beam data.
  • The algorithm allows for direct reconstruction of the refractive index decrement, improving DPC-CT applications.
  • Accurate reconstruction requires specific angular data acquisition ranges, differing from parallel beam methods.