Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

X-ray Imaging

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...

¹³C NMR: ¹H–¹³C Decoupling

¹³C NMR: ¹H–¹³C Decoupling

The probability of having two carbon-13 atoms next to each other is negligible because of the low natural abundance of carbon-13. Consequently, peak splitting due to carbon-carbon spin-spin coupling is not observed in spectra. However, protons up to three sigma bonds away split the carbon signal according to the n+1 rule, resulting in complicated spectra.
A broadband decoupling technique is used to simplify these complex, sometimes overlapping, signals. Broadband decoupling relies on a...

You might also read

Related Articles

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

Sort by

Same author

External validation of American heart association predicting risk of cardiovascular disease EVENTs (PREVENT) equations in a Chinese population.

Scientific reports·2026

Same author

Bionic Cooling Skin for Infected Wound Healing.

Nano-micro letters·2026

Same author

Synergistic Evaporative Cooling and Dual-Mode Luminescent Film for Photovoltaic Cooling and Spectral Harvesting.

ACS applied materials & interfaces·2026

Same author

Roles of Slab-Gliding-Induced Surface Nano-Steps in High-Voltage Instability of LiCoO<sub>2</sub>.

Journal of the American Chemical Society·2026

Same author

Hydrophobic Metal-Organic Framework-Based Ion-Conductive Interfaces Toward Stabilizing Zn Metal for High-Performance Aqueous Zinc-Ion Batteries.

ChemSusChem·2026

Same author

Enzyme-Inspired Hydrogen-Bonded Organic Frameworks for Synergistic Capture, Detection, and Degradation of Nerve Agent Simulants.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2025

Same journal

Compressed multi-scale entropy and its application in mechanical fault diagnosis.

The Review of scientific instruments·2026

Same journal

Bidirectional drive and multi-resolution adjustment across frequency bands in inertial impact piezoelectric motors via multimodal resonant vibration.

The Review of scientific instruments·2026

Same journal

A magnetic field sensor based on flaky Terfenol-D material and dual fiber grating.

The Review of scientific instruments·2026

Same journal

A novel E-field eight-way cavity combiner for high-power S-band applications.

The Review of scientific instruments·2026

Same journal

Constant radius blade spring suspended bench for vibration isolation.

The Review of scientific instruments·2026

Same journal

Qualification of infrared optical fibers and emitters for a spectrometer for in situ planetary exploration: Results from the TRIS (TRansmission and Illumination System) project.

The Review of scientific instruments·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Apr 1, 2026

Author Spotlight: Using Hyperpolarized Xenon-129 MRI to Study Lung Diseases

Author Spotlight: Using Hyperpolarized Xenon-129 MRI to Study Lung Diseases

Published on: January 5, 2024

Blind source separation based x-ray image denoising from an image sequence.

Chun-Yu Yu¹, Yan Li¹, Bin Fei¹

¹School of Optoelectronic Engineering, Nanjing University of Posts and Telecommunications, Jiangsu, Nanjing 210023, China.

The Review of Scientific Instruments

|October 3, 2015

Summary

This summary is machine-generated.

Blind source separation (BSS) effectively denoises X-ray images without prior knowledge by separating stable signals from noise. Performance improves with more frames, but runtime increases, necessitating a balance for optimal X-ray image denoising.

More Related Videos

X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging

X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging

Published on: September 11, 2011

Whole-cell Super-Resolution Imaging via DNA-PAINT on a Spinning Disk Confocal with Optical Photon Reassignment

Whole-cell Super-Resolution Imaging via DNA-PAINT on a Spinning Disk Confocal with Optical Photon Reassignment

Published on: January 6, 2026

Related Experiment Videos

Last Updated: Apr 1, 2026

Author Spotlight: Using Hyperpolarized Xenon-129 MRI to Study Lung Diseases

Author Spotlight: Using Hyperpolarized Xenon-129 MRI to Study Lung Diseases

Published on: January 5, 2024

X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging

X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging

Published on: September 11, 2011

Whole-cell Super-Resolution Imaging via DNA-PAINT on a Spinning Disk Confocal with Optical Photon Reassignment

Whole-cell Super-Resolution Imaging via DNA-PAINT on a Spinning Disk Confocal with Optical Photon Reassignment

Published on: January 6, 2026

Area of Science:

Medical Imaging
Signal Processing
Computational Science

Background:

X-ray imaging is crucial for medical diagnostics.
Image noise degrades diagnostic quality and can obscure details.
Existing denoising methods may require prior knowledge or compromise image fidelity.

Purpose of the Study:

To propose and evaluate blind source separation (BSS) for X-ray image sequence denoising.
To assess BSS performance against traditional multi-frame averaging.
To investigate the impact of sequence length on denoising efficacy and computational cost.

Main Methods:

Application of BSS algorithms, including fixed-point independent component analysis and second-order statistics singular value decomposition.
Comparison with multi-frame averaging for signal-to-noise ratio (SNR) enhancement.
Quantitative evaluation using SNR, standard deviation, and entropy metrics, alongside runtime analysis.

Main Results:

BSS demonstrates applicability and effectiveness in denoising X-ray image sequences.
Increased frame count in sequences generally improves denoised image quality.
A trade-off exists between denoising performance and computational runtime.

Conclusions:

BSS offers a viable, knowledge-independent approach for enhancing X-ray image quality.
Optimizing the number of frames in a sequence is key to balancing denoising effectiveness and processing time.
Further research can refine BSS parameters for specific X-ray imaging applications.