Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

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...
Imaging Studies for Cardiovascular System III: X-Ray01:20

Imaging Studies for Cardiovascular System III: X-Ray

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...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Sex-specific impact of glycemic variability on long-term outcomes after acute myocardial infarction.

Scientific reports·2026
Same author

The enhancement of grain chalkiness tolerance and weight by OsS40-2 mutation is linked to source-sink homeostasis in a developmentally dependent manner.

Plant physiology·2026
Same author

Radiomic analysis of multiple MRI sequences for diagnosing liver cancer vs. focal nodular hyperplasia.

American journal of translational research·2026
Same author

Mechanical self-adaptive porous valve relying on surface tension for energy harvesting from low-flux bubbles.

Nature communications·2025
Same author

A functional NKILA variant (rs2273534) drives genetic susceptibility and oncogenic progression in gastric cancer via the miR-4424/OAS2 pathway.

Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association·2025
Same author

Structure-guided bispecific antibody engineering confers broad protection against KP.3.1.1 and sarbecoviruses.

iScience·2025
Same journal

Semi-supervised YOLO-DEP for high-resolution X-ray component localization and counting.

Journal of X-ray science and technology·2026
Same journal

Attention based multi-scale edge-aware segmentation and convolutional transformer framework for automated glaucoma detection from fundus images.

Journal of X-ray science and technology·2026
Same journal

Improving the robustness of radiomic features to patient size variations in CBCT imaging for radiotherapy.

Journal of X-ray science and technology·2026
Same journal

DH-OOD: A decoupled hybrid framework for robust skin lesion classification via semantic-structural fusion.

Journal of X-ray science and technology·2026
Same journal

Development and evaluation of deep learning models for automatic coronary stenosis segmentation in X-ray angiography.

Journal of X-ray science and technology·2026
Same journal

Projection-domain reconstruction of patient-specific panoramic images from CBCT projection data.

Journal of X-ray science and technology·2026
See all related articles

Related Experiment Video

Updated: Jun 18, 2026

Improved Registration of 3D CT Angiography with X-ray Fluoroscopy for Image Fusion During Transcatheter Aortic Valve Implantation
06:59

Improved Registration of 3D CT Angiography with X-ray Fluoroscopy for Image Fusion During Transcatheter Aortic Valve Implantation

Published on: June 3, 2018

Efficient x-ray image enhancement algorithm using image fusion.

Kuan Shen1, Yumei Wen, Yufang Cai

  • 1ICT Research Center, Key Laboratory of Optoelectronic Technology and System of the Education Ministry of China, Chongqing University, Chongqing 400030, China. shenk@cqu.edu.cn

Journal of X-Ray Science and Technology
|November 7, 2009
PubMed
Summary
This summary is machine-generated.

This study introduces an automated system for enhancing digital radiography (DR) images using multiresolution analysis (MRA) and image fusion. The method improves defect visualization in X-ray images without blocking effects.

More Related Videos

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

Enhancing Electrode Location Assessment in Cochlear Implantation via Computed Tomography Image Fusion
03:58

Enhancing Electrode Location Assessment in Cochlear Implantation via Computed Tomography Image Fusion

Published on: January 17, 2025

Related Experiment Videos

Last Updated: Jun 18, 2026

Improved Registration of 3D CT Angiography with X-ray Fluoroscopy for Image Fusion During Transcatheter Aortic Valve Implantation
06:59

Improved Registration of 3D CT Angiography with X-ray Fluoroscopy for Image Fusion During Transcatheter Aortic Valve Implantation

Published on: June 3, 2018

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

Enhancing Electrode Location Assessment in Cochlear Implantation via Computed Tomography Image Fusion
03:58

Enhancing Electrode Location Assessment in Cochlear Implantation via Computed Tomography Image Fusion

Published on: January 17, 2025

Area of Science:

  • Digital image processing
  • Medical imaging analysis
  • Signal processing

Background:

  • Multiresolution Analysis (MRA) is crucial for extracting scale-specific information in image and signal processing.
  • Image fusion combines multiple images to enhance feature representation and provide richer information.
  • Digital radiography (DR) imaging requires enhancement for clear defect visualization without artifacts.

Purpose of the Study:

  • To develop an automated imaging enhancement system for DR images.
  • To clearly display all defects in a single X-ray image.
  • To avoid blocking effects in enhanced images.

Main Methods:

  • Proposed an automated system using multiresolution analysis (MRA) and image fusion.
  • Mapped signal subsections to grayscale images (0-255) and fused them.
  • Compared multiresolution decomposition methods: contrast pyramid, wavelet, and ridgelet.

Main Results:

  • Fused images provide a more detailed representation of X-ray images.
  • The developed system effectively enhances defect visibility.
  • Tested algorithms showed superior performance compared to standard enhancement methods.

Conclusions:

  • The proposed MRA and image fusion technique enhances DR image quality.
  • Improved image detail benefits detection, recognition, and search tasks.
  • The automated system offers a valuable tool for medical imaging analysis.