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

8.2K
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...
8.2K

You might also read

Related Articles

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

Sort by
Same author

Imaging Near Spinal Fixation Hardware at 0.55 T Compared With 3 T.

Journal of magnetic resonance imaging : JMRI·2026
Same author

Improved dynamic MRI of the wrist and heart at 0.55 T enabled by rapid 3D printed flexible coils.

Nature communications·2026
Same author

Dynamic Mode Decomposition (DMD) for Low-Latency Real-Time Cardiac MRI.

Magnetic resonance in medicine·2026
Same author

Diagnostic and Imaging Features of Leber Hereditary Optic Neuropathy: An Individual Participant Data Meta-Analysis.

AJNR. American journal of neuroradiology·2026
Same author

Basic Science and Pathogenesis.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2025
Same author

Distortion correction in TSE near titanium implants at 0.55 T using reversed frequency-encoding and model-based reconstruction.

Magma (New York, N.Y.)·2025

Related Experiment Video

Updated: Nov 4, 2025

High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain
10:06

High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain

Published on: May 10, 2012

13.1K

Sparse precontrast T1 mapping for high-resolution whole-brain DCE-MRI.

Zhibo Zhu1, R Marc Lebel2,3, Yannick Bliesener1

  • 1Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, California, USA.

Magnetic Resonance in Medicine
|May 26, 2021
PubMed
Summary

This study demonstrates that high-resolution whole-brain T1 mapping using variable flip angles is effective even with sparse sampling. This efficient technique supports quantitative dynamic contrast-enhanced MRI (DCE-MRI) for brain imaging.

Keywords:
T1 mappingbrain tumormodel-based reconstructionquantitative dynamic contrast-enhanced-magnetic resonance imaging (DCE-MRI)sparse sampling

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

1.6K
Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
17:06

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

26.6K

Related Experiment Videos

Last Updated: Nov 4, 2025

High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain
10:06

High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain

Published on: May 10, 2012

13.1K
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

1.6K
Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
17:06

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

26.6K

Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Quantitative Imaging
  • Neuroimaging

Background:

  • Quantitative imaging techniques are crucial for accurate medical diagnoses.
  • Dynamic Contrast-Enhanced MRI (DCE-MRI) requires precise precontrast T1 mapping for reliable results.
  • High-resolution whole-brain imaging presents challenges for traditional T1 mapping methods.

Purpose of the Study:

  • To develop and validate an efficient precontrast T1 mapping technique.
  • To achieve high-resolution (1x1x2 mm3) whole-brain coverage.
  • To ensure suitability for quantitative DCE-MRI protocols.

Main Methods:

  • Variable Flip Angle (VFA) T1 mapping was employed with seven logarithmically spaced flip angles (1.5° to 15°).
  • Model-based reconstruction was used to estimate T1 and M0 maps.
  • The method was evaluated using a digital reference object (DRO), a healthy volunteer, and 13 patients with high-grade gliomas, including prospectively undersampled data.

Main Results:

  • T1 mapping precision decreased with increasing undersampling factor (R), but bias remained minimal.
  • In noiseless DRO, T1 bias was <25 ms (WM) and <11 ms (BT); SD was <119.5 ms (WM, COV ~11.0%) and <253.2 ms (BT, COV ~12.7%).
  • For R ≤ 10 in noisy DRO, T1 SD was <107.1 ms (WM, COV ~9.9%) and <240.9 ms (BT, COV ~12.1%).
  • In a healthy subject, T1 bias was <30 ms for R ≤ 16, with T1 SD of 171.4 ms (COV ~13.0%) at R=4.
  • Prospective patient data showed T1 values consistent with literature for white matter and brain tumors.

Conclusions:

  • High-resolution whole-brain VFA T1 mapping is feasible using sparse sampling techniques.
  • This efficient method supports its application in quantitative DCE-MRI.
  • The technique demonstrates robustness and accuracy for brain imaging applications.