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

Using Diffusion Tensor Imaging in Traumatic Brain Injury12:28

Using Diffusion Tensor Imaging in Traumatic Brain Injury

17.5K
Source: Laboratories of Jonas T. Kaplan and Sarah I. Gimbel—University of Southern California
Traditional brain imaging techniques using MRI are very good at visualizing the gross structures of the brain. A structural brain image made with MRI provides high contrast of the borders between gray and white matter, and information about the size and shape of brain structures. However, these images do not detail the underlying structure and integrity of white matter networks in the brain, which...
17.5K
Advanced Diffusion Imaging in The Hippocampus of Rats with Mild Traumatic Brain Injury10:33

Advanced Diffusion Imaging in The Hippocampus of Rats with Mild Traumatic Brain Injury

8.9K
The overall goal of this procedure is to obtain quantitative microstructural information of the hippocampus in a rat with mild traumatic brain injury. This is done using an advanced diffusion-weighted magnetic resonance imaging protocol and region-of-interest based analysis of parametric diffusion...
8.9K
Diffusion Imaging in the Rat Cervical Spinal Cord10:46

Diffusion Imaging in the Rat Cervical Spinal Cord

12.2K
The goal of this protocol is to obtain high-quality diffusion weighted magnetic resonance imaging (DWI) of the rat spinal cord for noninvasive characterization of tissue microstructure. This protocol describes optimizations of the MRI sequence, radiofrequency coil, and analysis methods to enable DWI images free from...
12.2K
Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging15:48

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging

23.1K
We describe how to obtain parametric and vector maps of the diffusion tensor of the breast using magnetic resonance imaging. The protocol and final output following imaging processing are tailored for tracking breast architectural features and detecting breast malignancy.
23.1K
Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases09:33

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

29.2K
Diffusion tensor imaging (DTI) basically serves as an MRI-based tool to identify in vivo the microstructure of the brain and pathological processes due to neurological disorders within the cerebral white matter. DTI-based analyses allow for application to brain diseases both at the group level and in single subject...
29.2K
Nonlinear Pharmacokinetics: Causes of Nonlinearity01:22

Nonlinear Pharmacokinetics: Causes of Nonlinearity

712
Nonlinearity in drug pharmacokinetics is caused by various factors influencing how a drug is absorbed, distributed, metabolized, and excreted. Understanding these nonlinear processes is crucial for predicting drug behavior in the body and optimizing drug dosing regimens.
Nonlinear drug absorption can occur when the process is rate-limited by solubility, carrier-mediated transport systems, or saturation of the presystemic gut wall or hepatic metabolism. For instance, high doses of riboflavin...
712

You might also read

Related Articles

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

Sort by
Same author

Microscopy-informed structural connectivity mapping in the in vivo human brain via domain adaptation.

bioRxiv : the preprint server for biology·2026
Same author

An open-source stereotaxic container with an integrated cutting guide for human brain fixation during magnetic resonance imaging and sectioning for histology.

bioRxiv : the preprint server for biology·2026
Same author

Investigating the Sensitivity of the Diffusion MRI Signal to Magnetization Transfer and Permeability via Monte-Carlo Simulations.

Magnetic resonance in medicine·2026
Same author

Modelling Motion-Induced Signal Corruption in Steady-State Diffusion MRI.

Magnetic resonance in medicine·2026
Same author

Between-species variation in neocortical sulcal anatomy of the carnivoran brain.

eLife·2026
Same author

Diffusion-weighted steady-state free precession imaging in the ex vivo macaque brain on a 10.5T human MRI scanner.

bioRxiv : the preprint server for biology·2025
Same journal

A Comparison of Tissue Property Values Estimated Using Conventional Cardiac MRF and MT-Cardiac MRF.

Magnetic resonance in medicine·2026
Same journal

Dependence of the Extra-Cellular Diffusion Coefficient on the Fractions of Neurites and Cell Bodies in Gray Matter.

Magnetic resonance in medicine·2026
Same journal

Triple-Pulse <sup>23</sup>Na MRI Sequence (TriNa) for Simultaneous Acquisition of Spin-Density-Weighted and Fluid-Attenuated Images.

Magnetic resonance in medicine·2026
Same journal

Evaluation of Phantom Doping Materials in Quantitative Susceptibility Mapping.

Magnetic resonance in medicine·2026
Same journal

Design of an 8-Channel Transmit 32-Channel Receive 11.7T Head Coil and Evaluation of SNR Gains.

Magnetic resonance in medicine·2026
Same journal

The Potential for Absolute Temperature Imaging Based on Brain Metabolites Using an FID-Shifting Approach in Gradient Echo Planar Spectroscopic Imaging (GREPSI).

Magnetic resonance in medicine·2026
See all related articles

Related Experiment Video

Updated: Jan 20, 2026

Diffusion Imaging in the Rat Cervical Spinal Cord
10:46

Diffusion Imaging in the Rat Cervical Spinal Cord

Published on: April 7, 2015

12.2K

Nonlinear phase correction for navigated diffusion imaging.

Karla L Miller1, John M Pauly

  • 1Magnetic Resonance Systems Research Laboratory, Department of Electrical Engineering, Stanford University, Stanford, California 94305, USA. bison@stanford.edu

Magnetic Resonance in Medicine
|July 24, 2003
PubMed
Summary
This summary is machine-generated.

This study introduces a new refocusing reconstruction technique to correct nonrigid motion artifacts in diffusion-weighted imaging (DWI). This method significantly enhances steady-state DWI (SS-DWI) image quality compared to standard corrections.

More Related Videos

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
15:48

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging

Published on: December 15, 2014

23.1K
Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
09:33

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Published on: July 28, 2013

29.2K

Related Experiment Videos

Last Updated: Jan 20, 2026

Diffusion Imaging in the Rat Cervical Spinal Cord
10:46

Diffusion Imaging in the Rat Cervical Spinal Cord

Published on: April 7, 2015

12.2K
Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
15:48

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging

Published on: December 15, 2014

23.1K
Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
09:33

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Published on: July 28, 2013

29.2K

Area of Science:

  • Medical Imaging
  • Biophysics
  • Neuroimaging

Background:

  • Motion during diffusion-weighted imaging (DWI) causes phase errors and artifacts in brain images.
  • Standard navigator methods correct rigid-body motion but fail to address nonrigid deformations like those from the cardiac cycle.

Purpose of the Study:

  • To develop and evaluate a generalized reconstruction method for correcting nonrigid motion in DWI.
  • To introduce an efficient approximation, the refocusing reconstruction, for nonrigid motion correction.

Main Methods:

  • A generalized least-squares reconstruction was derived to correct nonrigid motion.
  • An efficient refocusing reconstruction was developed by multiplying readouts by the phase conjugate of navigator images.
  • Methods for improving refocused image quality, including cardiac cycle synchronization, were investigated.

Main Results:

  • The refocusing reconstruction effectively corrects nonrigid motion artifacts in DWI.
  • Cardiac cycle synchronization improves data conditioning for the refocusing reconstruction without significant time penalties.
  • The refocusing reconstruction significantly improved steady-state DWI (SS-DWI) compared to standard rigid-body corrections.

Conclusions:

  • The refocusing reconstruction offers an efficient and effective solution for nonrigid motion artifacts in DWI.
  • Cardiac synchronization enhances the performance of the refocusing reconstruction for SS-DWI.
  • This technique holds promise for improving the diagnostic quality of motion-sensitive MRI sequences.