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

Imaging Studies II: Positron Emission Tomography and Scintigraphy01:25

Imaging Studies II: Positron Emission Tomography and Scintigraphy

235
Positron Emission Tomography (PET) is a medical imaging technique that provides crucial insights into the body's physiological functions at a molecular level. It is an indispensable resource for diagnosing, staging, and monitoring various illnesses, notably cancer, neurological disorders, and cardiovascular conditions.
Fundamental Principles of PET
235

You might also read

Related Articles

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

Sort by
Same author

Aspirin for cancer prevention in individuals with Lynch syndrome: first results from the CaPP3 multicentre, randomised, double-blind, non-inferiority trial.

The lancet. Gastroenterology & hepatology·2026
Same author

Analysis of cardiac dynamic global function.

JRSM cardiovascular disease·2026
Same author

Physical activity patterns from mid- to late adulthood and risk of sarcopenia in older adults: the HUNT study.

BMC geriatrics·2026
Same author

CMR-derived left ventricular pressure-volume loops enhance individualized assessment of disease severity and prognosis in pulmonary arterial hypertension in adults.

Physiological reports·2026
Same author

Dynamic right ventricular and atrial volume responses to exercise in endurance-trained and untrained healthy individuals.

PloS one·2026
Same author

Effects of providing access to a cycling exergaming platform on cardiorespiratory fitness and cardiometabolic health in adolescents: a randomised, controlled trial.

Scientific reports·2026

Related Experiment Video

Updated: Sep 12, 2025

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System
10:17

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System

Published on: April 11, 2025

919

Verification of Pathologic ECV Estimated with Clinical T1 Mapping Methods Using an Isotope-based Reference.

David Nordlund1, Sascha Kopic1, Robert Jablonowski1

  • 1Department of Clinical Sciences, Clinical Physiology, Skåne University Hospital and Lund University, 221 85 Lund, Sweden.

Radiology. Cardiothoracic Imaging
|August 7, 2025
PubMed
Summary

Clinically used cardiac MRI T1 mapping sequences accurately measure extracellular volume fraction (ECV) in pigs, though some sequences overestimate ECV in infarct and remote regions compared to a SPECT reference standard.

Keywords:
Animal StudiesCardiacEdemaImaging SequencesIschemia/InfarctionMR Imaging

More Related Videos

Neuroimaging-Guided TMS–EEG for Real-Time Cortical Network Mapping
09:55

Neuroimaging-Guided TMS–EEG for Real-Time Cortical Network Mapping

Published on: June 13, 2025

1.1K
Simple and Rapid Method to Obtain High-quality Tumor DNA from Clinical-pathological Specimens Using Touch Imprint Cytology
11:20

Simple and Rapid Method to Obtain High-quality Tumor DNA from Clinical-pathological Specimens Using Touch Imprint Cytology

Published on: March 21, 2018

11.0K

Related Experiment Videos

Last Updated: Sep 12, 2025

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System
10:17

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System

Published on: April 11, 2025

919
Neuroimaging-Guided TMS–EEG for Real-Time Cortical Network Mapping
09:55

Neuroimaging-Guided TMS–EEG for Real-Time Cortical Network Mapping

Published on: June 13, 2025

1.1K
Simple and Rapid Method to Obtain High-quality Tumor DNA from Clinical-pathological Specimens Using Touch Imprint Cytology
11:20

Simple and Rapid Method to Obtain High-quality Tumor DNA from Clinical-pathological Specimens Using Touch Imprint Cytology

Published on: March 21, 2018

11.0K

Area of Science:

  • Cardiovascular Imaging
  • Radiology
  • Medical Physics

Background:

  • Cardiac MRI T1 mapping sequences are clinically used to measure extracellular volume fraction (ECV).
  • Accurate ECV measurement is crucial for diagnosing and managing various cardiac pathologies.
  • Independent validation of these sequences against a reference standard is necessary.

Purpose of the Study:

  • To verify the accuracy of clinically used cardiac MRI T1 mapping sequences for measuring ECV.
  • To assess ECV measurement accuracy across a spectrum of pathologic values using an independent reference standard.
  • To compare ECV measurements from different T1 mapping sequences (MOLLI and SASHA) against ex vivo SPECT.

Main Methods:

  • Acute myocardial ischemia was induced in six pigs, followed by 7 days of reperfusion.
  • In vivo ECV was measured using three modified Look-Locker inversion recovery (MOLLI) and one saturation recovery single-shot acquisition (SASHA) sequences.
  • Ex vivo SPECT imaging with technetium 99m diethylenetriamine pentaacetic acid served as the reference standard for ECV calculation.

Main Results:

  • All T1 mapping sequences demonstrated high correlation with the reference standard (r² range, 0.71-0.99).
  • MOLLI 5(3)3 and MOLLI 5s(3s)3s sequences overestimated ECV in the infarct region compared to SPECT.
  • All sequences, including SASHA, showed ECV overestimation in the remote myocardium compared to the reference standard.

Conclusions:

  • Clinically used cardiac MRI T1 mapping sequences show high correlation with a radioisotope-based reference standard for ECV measurement.
  • Certain MOLLI sequences may overestimate ECV in infarct and remote myocardial regions.
  • This study validates the use of T1 mapping sequences for ECV quantification, highlighting potential biases in specific sequences.