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

Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

10.3K
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...
10.3K

You might also read

Related Articles

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

Sort by
Same author

Cerebral Blood Transit in Sickle Cell Anemia.

Journal of magnetic resonance imaging : JMRI·2026
Same author

Imaging intravoxel vessel size distribution in the brain using susceptibility contrast enhanced MRI.

Imaging neuroscience (Cambridge, Mass.)·2026
Same author

Multimodal Canonical Correlation Analysis with Joint Independent Component Analysis (mCCA+jICA) of IVIM and ASL MRI Reveals Perfusion and Diffusion Abnormalities in mTBI-A Pilot Study.

NeuroSci·2025
Same author

Assessment of microstructural changes in white matter hyperintensities in aging and mild cognitive impairment revealed by advanced diffusion MRI.

Journal of Alzheimer's disease reports·2025
Same author

Cerebral Blood Flow in Children and Adults With Sickle Cell Anemia.

Neurology·2025
Same author

White Matter Geometry Confounds Diffusion Tensor Imaging Along Perivascular Space (DTI-ALPS) Measures.

Human brain mapping·2025

Related Experiment Video

Updated: Mar 24, 2026

Magnetic Resonance Imaging Quantification of Pulmonary Perfusion using Calibrated Arterial Spin Labeling
12:29

Magnetic Resonance Imaging Quantification of Pulmonary Perfusion using Calibrated Arterial Spin Labeling

Published on: May 30, 2011

14.3K

Improving Perfusion Measurement in DSC-MR Imaging with Multiecho Information for Arterial Input Function

A T Newton1, S Pruthi2, A M Stokes3

  • 1From the Department of Radiology and Radiological Sciences (A.T.N., S.P.), Vanderbilt University Medical Center, Nashville, Tennessee Institute of Imaging Science (A.T.N.), Vanderbilt University, Nashville, Tennessee allen.t.newton@vanderbilt.edu.

AJNR. American Journal of Neuroradiology
|March 19, 2016
PubMed
Summary

Multiecho dynamic susceptibility contrast-MR imaging (DSC-MRI) improves arterial input function estimation by automatically identifying and excluding noisy voxels. This enhances the accuracy of cerebral perfusion quantification in clinical settings.

More Related Videos

Author Spotlight: Noninvasive Cerebral Blood Flow Determination in Human Functional Brain Region for Diagnosis of Neurological Disorders
05:23

Author Spotlight: Noninvasive Cerebral Blood Flow Determination in Human Functional Brain Region for Diagnosis of Neurological Disorders

Published on: May 31, 2024

933
A Magnetic Resonance Imaging Protocol for Stroke Onset Time Estimation in Permanent Cerebral Ischemia
09:59

A Magnetic Resonance Imaging Protocol for Stroke Onset Time Estimation in Permanent Cerebral Ischemia

Published on: September 16, 2017

14.7K

Related Experiment Videos

Last Updated: Mar 24, 2026

Magnetic Resonance Imaging Quantification of Pulmonary Perfusion using Calibrated Arterial Spin Labeling
12:29

Magnetic Resonance Imaging Quantification of Pulmonary Perfusion using Calibrated Arterial Spin Labeling

Published on: May 30, 2011

14.3K
Author Spotlight: Noninvasive Cerebral Blood Flow Determination in Human Functional Brain Region for Diagnosis of Neurological Disorders
05:23

Author Spotlight: Noninvasive Cerebral Blood Flow Determination in Human Functional Brain Region for Diagnosis of Neurological Disorders

Published on: May 31, 2024

933
A Magnetic Resonance Imaging Protocol for Stroke Onset Time Estimation in Permanent Cerebral Ischemia
09:59

A Magnetic Resonance Imaging Protocol for Stroke Onset Time Estimation in Permanent Cerebral Ischemia

Published on: September 16, 2017

14.7K

Area of Science:

  • Medical Imaging
  • Neuroimaging
  • Radiology

Background:

  • Multiecho dynamic susceptibility contrast-MR imaging (DSC-MRI) is used for cerebral perfusion measurement, mitigating contrast agent T1 effects.
  • Arterial input function (AIF) estimation is crucial for accurate DSC-MRI perfusion quantification.
  • Current methods do not fully leverage multiecho data for AIF improvement.

Purpose of the Study:

  • To investigate using multiecho DSC-MRI data to automatically identify and exclude voxels with signal attenuation artifacts during AIF calculation.
  • To enhance the accuracy of cerebral perfusion quantification by improving AIF estimation.

Main Methods:

  • Compared postprocessing strategies for clinical multiecho DSC-MRI data.
  • Developed methods to automatically identify and remove voxels with signal attenuation (truncation) artifacts.
  • Utilized Pearson correlation coefficient between ΔR2* time-series from individual echo times (TEs).

Main Results:

  • The Pearson correlation coefficient between ΔR2* time-series from individual TEs proved effective for automated AIF estimation.
  • This method resulted in higher peak AIF values.
  • The AIF shapes remained smooth and reliable.

Conclusions:

  • Multiecho DSC-MRI information can significantly improve automatic AIF estimation.
  • This approach enhances the automatic selection of voxels for AIF measurement.
  • The findings are clinically relevant for accurate cerebral perfusion quantification.