Jove
Visualize
Contact Us

Related Concept Videos

Magnetic Resonance Imaging01:24

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 IV: CMRI01:21

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

Safety and efficacy of opicinumab in participants with relapsing multiple sclerosis (AFFINITY Part 1): A randomized, controlled, phase 2 trial.

Multiple sclerosis (Houndmills, Basingstoke, England)·2025
Same author

Steps on the Path to Clinical Translation-A British and Irish Chapter ISMRM Workshop Survey of the UK MRI Community.

Magnetic resonance in medicine·2025
Same author

Assessing Drug-mediated Inhibition of Liver Transporter Function with MRI: A First-in-Human Study.

Radiology·2025
Same author

Prospective study of primary aldosteronism in acute ischemic stroke: association with small vessel disease.

Hypertension research : official journal of the Japanese Society of Hypertension·2025
Same author

Novel insights into vascular dysfunction in cuprizone-induced demyelination through functional ultrasound imaging.

Imaging neuroscience (Cambridge, Mass.)·2025
Same author

Magnetic resonance imaging morphological features of the cisternal segment of the trigeminal nerve in Fabry disease.

Neuroradiology·2025
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 Experiment Video

Updated: Jul 14, 2026

Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities
07:13

Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities

Published on: October 27, 2023

Misregistration artifacts in image-derived arterial input function in non-echo-planar imaging-based dynamic

Hideto Kuribayashi1, Philip L Worthington, Daniel P Bradley

  • 1AstraZeneca, Macclesfield, Cheshire, UK. hideto.kuribayashi@varianinc.com

Journal of Magnetic Resonance Imaging : JMRI
|May 24, 2007
PubMed
Summary

Misregistration artifacts in arterial input function (AIF) pixels during dynamic contrast-enhanced MRI (DCE-MRI) are caused by phase shifts from rising gadolinium concentrations. This effect is crucial for high-field, small animal DCE-MRI studies.

More Related Videos

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
09:30

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

Related Experiment Videos

Last Updated: Jul 14, 2026

Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities
07:13

Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities

Published on: October 27, 2023

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
09:30

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

Area of Science:

  • Biomedical Imaging
  • Magnetic Resonance Imaging
  • Pharmacokinetics

Background:

  • Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is vital for assessing tissue perfusion and vascularity.
  • Accurate arterial input function (AIF) estimation is critical for quantitative analysis in DCE-MRI.
  • Misregistration artifacts can compromise the accuracy of AIF measurements, particularly in small animal models.

Purpose of the Study:

  • To investigate and characterize the misregistration artifact affecting arterial input function (AIF) pixels in DCE-MRI.
  • To identify the specific acquisition parameters and physiological events contributing to these artifacts.
  • To evaluate the impact of these artifacts in high-field, small animal DCE-MRI applications.

Main Methods:

  • Utilized a two-dimensional non-echo-planar imaging (EPI)-based gradient-recalled echo (GRE) sequence for dynamic gadolinium-enhanced MRI in rats.
  • Employed a semikeyhole acquisition scheme to acquire data from abdominal aorta pixels for AIF determination.
  • Applied various sliding-window reconstruction techniques to pinpoint k-space lines associated with misregistration.

Main Results:

  • Misregistration along the phase-encoding direction was observed when k-space lines were acquired during the rapid increase in aortic gadolinium concentration.
  • Phase shift calculations accurately predicted the maximum blood gadolinium concentration, aligning with dosage estimations.
  • The timing of k-space acquisition relative to contrast agent arrival significantly influenced artifact severity.

Conclusions:

  • Arterial input function misregistration in DCE-MRI is primarily driven by phase shifts induced by rapid increases in aortic gadolinium concentration.
  • These artifacts necessitate careful consideration in high-field, small animal DCE-MRI studies exhibiting a fast AIF rise.
  • Understanding and mitigating these artifacts are essential for reliable pharmacokinetic modeling in preclinical research.