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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...
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Preparing Adherent Cells for X-ray Fluorescence Imaging by Chemical Fixation
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An efficient intensity-based ready-to-use X-ray image stitcher.

Junchen Wang1,2, Xiaohui Zhang1, Zhen Sun1

  • 1School of Mechanical Engineering and Automation, Beihang University, Beijing, China.

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|June 15, 2018
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Summary
This summary is machine-generated.

This study introduces an efficient X-ray image stitching method for creating panoramic images without special equipment. The technique is accurate, robust, and ready for clinical use, improving large area imaging.

Keywords:
image fusionimage warpingintensity-based registrationx-ray image stitching

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Area of Science:

  • Medical Imaging
  • Image Processing
  • Radiology

Background:

  • Limited field of view in X-ray imaging hinders coverage of large areas.
  • Existing X-ray image stitching techniques aim to create panoramic images.

Purpose of the Study:

  • To develop an efficient, intensity-based X-ray image stitcher for clinical use.
  • To enable panoramic X-ray imaging without C-arm motion control or auxiliary devices.

Main Methods:

  • Utilizes sequentially captured X-ray images with overlapping areas.
  • Employs a back-propagation scheme for gradient information to optimize image alignment.
  • Supports various image warping models and region shapes.

Main Results:

  • Achieves seamless stitching using multi-band blending.
  • Demonstrates robustness compared to feature-based approaches.
  • Requires no additional hardware modifications or auxiliary markers.

Conclusions:

  • The developed X-ray image stitcher is efficient and accurate.
  • The method is clinically applicable and ready for immediate use.