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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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X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging
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Combined mixed approach algorithm for in-line phase-contrast x-ray imaging.

Liberato De Caro1, Francesco Scattarella, Cinzia Giannini

  • 1Istituto di Cristallografia-Consiglio Nazionale delle Ricerche (IC-CNR), via Amendola 122/0, 1-70125 Bari, Italy. liberato.decaro@ic.cnr.it

Medical Physics
|September 14, 2010
PubMed
Summary

A new algorithm enhances X-ray imaging by retrieving phase information, improving contrast and detail visibility in soft tissues. This phase-retrieval imaging (PRI) offers better image quality than traditional methods.

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Area of Science:

  • Medical Imaging
  • X-ray Imaging
  • Phase Contrast Imaging

Background:

  • Phase-contrast imaging (PCI) improves image quality over absorption radiography for tissues.
  • Phase-retrieval imaging (PRI) mathematically extracts quantitative phase-shift maps from PCI data.

Purpose of the Study:

  • To propose a novel phase-retrieval algorithm for in-line phase-contrast X-ray imaging.
  • To enhance image contrast and detail visibility in biological tissues.

Main Methods:

  • A new algorithm based on a mixed transfer-function and transport-of-intensity approach (MA) was developed.
  • The algorithm requires an initial estimate of the average phase shift and retrieves both the object phase and its complex conjugate (CMA).

Main Results:

  • The combined MA (CMA) algorithm demonstrated low normalized mean square errors on simulated data.
  • CMA showed efficiency in recovering phase information from noisy experimental data, including submillimetric features.
  • Phase radiography enhanced signal-to-noise ratio for submillimetric features compared to attenuation-based imaging.

Conclusions:

  • Phase-retrieved radiographies provide quantitative phase information complementary to attenuation data for soft tissues.
  • This method enhances the visibility of internal details in soft tissues more effectively than standard phase radiography.