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Related Concept Videos

X-ray Imaging01:24

X-ray Imaging

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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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The most common cardiovascular diagnostic test is an X-ray. It produces images of the heart, blood vessels, and adjacent structures.
Definition and Purpose
An X-ray, or radiograph, is a non-invasive method that uses ionizing radiation to take images of internal structures. It is mainly used in cardiac imaging to examine the heart, lungs, and major blood vessels, aiming to identify abnormalities in the heart's size, shape, and position, such as heart failure, congenital defects, and vascular...
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X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging
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Automatic x-ray image contrast enhancement based on parameter auto-optimization.

Jianfeng Qiu1,2, H Harold Li2, Tiezhi Zhang2

  • 1Department of Radiology, Taishan Medical University, Taian, China.

Journal of Applied Clinical Medical Physics
|September 7, 2017
PubMed
Summary
This summary is machine-generated.

This study introduces an automatic contrast enhancement method for radiation therapy x-ray images, improving daily setup accuracy. The novel approach significantly outperforms standard procedures, aiding in precise patient treatment.

Keywords:
image guidanceimage processingradiation therapy

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Area of Science:

  • Medical Physics
  • Radiology
  • Image Processing

Background:

  • Radiation therapy setup relies on daily x-ray images.
  • Insufficient image contrast can compromise treatment accuracy.
  • Automated contrast enhancement is needed for reliable patient positioning.

Purpose of the Study:

  • To develop an automatic, user-independent contrast enhancement method for 2D kV and MV x-ray images.
  • To optimize tissue contrast for accurate daily treatment setup and offline review.
  • To improve image quality in radiation therapy imaging.

Main Methods:

  • An optimized image processing filter chain was developed, including noise reduction, high-pass filtering, and contrast limited adaptive histogram equalization (CLAHE).
  • Key parameters (Gaussian smoothing weighting, CLAHE block size, and clip limiting) were automatically optimized using an interior-point constrained algorithm.
  • The method was designed for automatic, site-specific, and modality-specific contrast adjustments.

Main Results:

  • The proposed method achieved an average physician/physicist score of 3.92, significantly outperforming CLAHE (2.83) and window-level adjustment (2.27).
  • 48% of images processed with the new method received the highest score (5), compared to 29% for CLAHE and 18% for window-level adjustment.
  • The method demonstrated superior performance in enhancing image contrast for radiation therapy setup images.

Conclusions:

  • The developed automatic contrast enhancement method surpasses current clinical standards for x-ray image adjustment.
  • Implementation in clinical systems can lead to quicker and more accurate patient treatment setups.
  • This technology facilitates improved offline review and verification processes in radiation therapy.