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

Magnetic Resonance Imaging

Magnetic Resonance Imaging

Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...

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...

Imaging Studies IV: Magnetic Resonance Imaging

Imaging Studies IV: Magnetic Resonance Imaging

Introduction:Magnetic Resonance Imaging, or MRI, can include a specialized imaging technique of the urinary system known as Magnetic Resonance Urography (MRU). This radiation-free technique uses strong magnetic fields and radio waves to produce detailed images with the help of a computer. MRU is particularly effective for visualizing fluid-filled structures like the kidneys, ureters, and bladder.Applications of MRI in the Genitourinary SystemKidneys and Ureters: MRI detects tumors, cysts,...

Imaging Studies for Cardiovascular System IV: CMRI

Imaging Studies for Cardiovascular System IV: CMRI

Cardiovascular magnetic resonance imaging, or CMRI, is a non-invasive diagnostic test that employs a magnetic field and radiofrequency waves to create precise images of the heart and arteries. It provides comprehensive information about cardiac anatomy, function, perfusion, and tissue characterization without ionizing radiation.IndicationsCMRI diagnoses various heart conditions, including tissue damage from heart attacks, ischemic heart disease, myocarditis, aortic issues (tears, aneurysms,...

You might also read

Related Articles

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

Sort by

Same author

Skeletal Muscle Quantity Versus Quality in Heart Failure: Exercise Intolerance and Outcomes in Older Patients With HFpEF Are Related to Abnormal Skeletal Muscle Metabolism Rather Than Age-Related Skeletal Muscle Loss.

Circulation. Heart failure·2025

Same author

Energetic Basis of Recovered Ejection Fraction in Human Heart Failure.

Circulation·2023

Same author

Real-Time High-Resolution MRI Endoscopy at up to 10 Frames per Second.

BME frontiers·2023

Same author

Improved <sup>1</sup> H body imaging at 10.5 T: Validation and VOP-enabled imaging in vivo with a 16-channel transceiver dipole array.

Magnetic resonance in medicine·2023

Same author

A power efficient actively shielded two-channel transverse MRI gradient coil numerical design.

Journal of magnetic resonance (San Diego, Calif. : 1997)·2023

Same author

Eddy currents analysis methods for an MRI longitudinal gradient coil.

Magnetic resonance in medicine·2023

Search research articles

Related Experiment Video

Updated: May 15, 2026

Standardized Data Acquisition for Neuromelanin-Sensitive Magnetic Resonance Imaging of the Substantia Nigra

Standardized Data Acquisition for Neuromelanin-Sensitive Magnetic Resonance Imaging of the Substantia Nigra

Published on: September 8, 2021

Denoising MRI using spectral subtraction.

M Arcan Erturk¹, Paul A Bottomley, Abdel-Monem M El-Sharkawy

¹Electrical and Computer Engineering Department, Johns Hopkins University, Baltimore, MD 21218, USA. merturk1@jhu.edu

IEEE Transactions on Bio-Medical Engineering

|January 17, 2013

Summary

This summary is machine-generated.

A novel spectral subtraction denoising (SSD) method enhances magnetic resonance imaging (MRI) signal-to-noise ratio (SNR) by up to 45% without compromising image resolution or acquisition time. This technique improves MRI scans of phantoms, hearts, and brains.

More Related Videos

A Randomized, Sham-Controlled Trial of Cranial Electrical Stimulation for Fibromyalgia Pain and Physical Function, Using Brain Imaging Biomarkers

A Randomized, Sham-Controlled Trial of Cranial Electrical Stimulation for Fibromyalgia Pain and Physical Function, Using Brain Imaging Biomarkers

Published on: January 5, 2024

Related Experiment Videos

Last Updated: May 15, 2026

Standardized Data Acquisition for Neuromelanin-Sensitive Magnetic Resonance Imaging of the Substantia Nigra

Standardized Data Acquisition for Neuromelanin-Sensitive Magnetic Resonance Imaging of the Substantia Nigra

Published on: September 8, 2021

A Randomized, Sham-Controlled Trial of Cranial Electrical Stimulation for Fibromyalgia Pain and Physical Function, Using Brain Imaging Biomarkers

A Randomized, Sham-Controlled Trial of Cranial Electrical Stimulation for Fibromyalgia Pain and Physical Function, Using Brain Imaging Biomarkers

Published on: January 5, 2024

Area of Science:

Medical Imaging
Signal Processing
Biophysics

Background:

Improving signal-to-noise ratio (SNR) in magnetic resonance imaging (MRI) is crucial for diagnostic accuracy.
Conventional denoising methods can compromise signal statistics and image resolution, particularly in parallel imaging scenarios with spatially dependent noise.

Purpose of the Study:

To introduce and evaluate a novel denoising method, spectral subtraction denoising (SSD), for enhancing MRI SNR.
To assess SSD's performance in terms of SNR improvement, image resolution preservation, and computational efficiency compared to existing techniques.

Main Methods:

Developed a spectral subtraction denoising (SSD) technique that subtracts measured noise power from individual signal acquisitions.
Applied SSD to signals from each coil separately before image reconstruction, addressing limitations of conventional methods in parallel imaging.
Validated SSD using numerical simulations and experimental MRI data from phantoms, human hearts, and brains.

Main Results:

Numerical simulations demonstrated an SNR improvement of up to ~45% in MRI reconstructed from both single and array coils using SSD, without loss of image resolution.
Experimental applications to phantom, heart, and brain MRI yielded approximately 40% SNR improvement compared to conventional reconstruction.
SSD showed comparable SNR enhancement to anisotropic diffusion filtering at low SNR levels (5-15) but offered improved accuracy, better structural detail retention, and reduced computational load.

Conclusions:

Spectral subtraction denoising (SSD) is an effective technique for significantly improving MRI SNR without compromising image quality or increasing scan time.
SSD offers advantages over conventional denoising methods, especially in parallel imaging, by handling spatially dependent noise effectively.
The method's accuracy, efficiency, and ability to preserve structural detail make it a valuable tool for enhancing clinical MRI applications.