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

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,...

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...

Imaging Studies for Cardiovascular System V: CT

Imaging Studies for Cardiovascular System V: CT

Cardiac computed tomography (CT) scanning is an advanced cardiac imaging technique that utilizes CT technology, with or without intravenous (IV) contrast, to produce accurate cross-sectional virtual slices of specific areas of the heart, coronary circulation, and major blood vessels such as the aorta, pulmonary veins, and arteries. The computer processes these slices to generate three-dimensional images. Multidetector CT (MDCT) is a rapid form of CT scanning that captures multiple slices...

You might also read

Related Articles

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

Sort by

Same author

Plasmid DNA Nanoparticles for Nonviral Oral Gene Therapy.

Nano letters·2021

Same author

Carboxymethyl Cellulose, Pluronic, and Pullulan-Based Compositions Efficiently Enhance Antiadhesion and Tissue Regeneration Properties without Using Any Drug Molecules.

ACS applied materials & interfaces·2021

Same author

Oral Delivery of Parathyroid Hormone Using a Triple-Padlock Nanocarrier for Osteoporosis <i>via</i> an Enterohepatic Circulation Pathway.

ACS applied materials & interfaces·2021

Same author

Oral GLP1 Gene Delivery by an Antibody-Guided Nanomaterial to Treat Type 2 Diabetes Mellitus.

ACS applied materials & interfaces·2020

Same author

Multimedia distributions, bioaccumulation, and trophic transfer of microcystins in the Geum River Estuary, Korea: Application of compound-specific isotope analysis of amino acids.

Environment international·2019

Same author

Oral Vaccine Delivery for Intestinal Immunity-Biological Basis, Barriers, Delivery System, and M Cell Targeting.

Polymers·2019

Search research articles

Related Experiment Video

Updated: Jun 21, 2026

Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph

Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph

Published on: February 21, 2025

New cardiac MRI gating method using event-synchronous adaptive digital filter.

Hodong Park¹, Youngcheol Park, Sungpil Cho

¹Department of Biomedical Engineering, College of Health Science, Yonsei University, 234 Maeji-Ri, Heungup-Myon, Wonju City, Kangwon Do, Korea. hodong_park@hanmail.net

Annals of Biomedical Engineering

|August 1, 2009

Summary

This summary is machine-generated.

This study introduces an adaptive algorithm to remove MRI gradient artifacts from electrocardiograph (ECG) signals, improving cardiac MRI gating. The novel method effectively suppresses interference without extra hardware.

More Related Videos

High-Resolution Cardiac Positron Emission Tomography/Computed Tomography for Small Animals

High-Resolution Cardiac Positron Emission Tomography/Computed Tomography for Small Animals

Published on: December 16, 2022

Management of Respiratory Motion Artefacts in 18F-fluorodeoxyglucose Positron Emission Tomography using an Amplitude-Based Optimal Respiratory Gating Algorithm

Management of Respiratory Motion Artefacts in ¹⁸F-fluorodeoxyglucose Positron Emission Tomography using an Amplitude-Based Optimal Respiratory Gating Algorithm

Published on: July 23, 2020

Related Experiment Videos

Last Updated: Jun 21, 2026

Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph

Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph

Published on: February 21, 2025

High-Resolution Cardiac Positron Emission Tomography/Computed Tomography for Small Animals

High-Resolution Cardiac Positron Emission Tomography/Computed Tomography for Small Animals

Published on: December 16, 2022

Management of Respiratory Motion Artefacts in 18F-fluorodeoxyglucose Positron Emission Tomography using an Amplitude-Based Optimal Respiratory Gating Algorithm

Management of Respiratory Motion Artefacts in ¹⁸F-fluorodeoxyglucose Positron Emission Tomography using an Amplitude-Based Optimal Respiratory Gating Algorithm

Published on: July 23, 2020

Area of Science:

Medical Imaging
Biomedical Signal Processing
Cardiovascular MRI

Background:

Artifact-free electrocardiograph (ECG) signals are crucial for cardiac MRI gating and noise reduction.
Electromagnetic interference significantly distorts conventional ECG signals during MRI.
Moving organs induce noise in MR images, necessitating precise cardiac gating.

Purpose of the Study:

To develop and evaluate an adaptive algorithm for suppressing MR gradient artifacts (MRGAs) in ECG leads for cardiac MRI gating.
To model MRGAs as rectangular pulse-like signals originating from MRI gradient pulses.
To compare the proposed algorithm's effectiveness against the multichannel approach.

Main Methods:

An event-synchronous adaptive digital filter was employed, using MRI gradient peaks as reference signals.
Phase space method and least-squares acceleration filter were used for event detection.
The algorithm was validated using both simulated and real-world cardiac MRI data.

Main Results:

The proposed adaptive algorithm effectively suppressed MR gradient artifacts in ECG signals.
The method demonstrated superior performance compared to the multichannel approach.
The experimental setup is simple and does not require additional hardware for reference signal acquisition.

Conclusions:

The developed adaptive algorithm offers an effective solution for MRGAs in cardiac MRI gating.
The algorithm's simplicity and efficiency make it a valuable tool for improving cardiac MRI quality.
This approach enhances patient monitoring and diagnostic accuracy in cardiovascular MRI.