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

Assessment of Diffusion and Perfusion01:17

Assessment of Diffusion and Perfusion

Understanding and evaluating diffusion and perfusion is critical in assessing a patient's respiratory and circulatory health. These processes play key roles in maintaining the body's internal environment, ensuring that tissues receive adequate oxygen while waste products are efficiently removed.
The Role of Diffusion in Respiration
Diffusion is the process by which molecules move from an area of higher concentration to an area of lower concentration. In the respiratory system, this principle...
Imaging Studies IV: Magnetic Resonance Imaging01:27

Imaging Studies IV: Magnetic Resonance Imaging

Introduction:Magnetic Resonance Imaging, or MRI, can include a specialized imaging technique of the urinary system known as Magnetic Resonance Urography (MRU). This radiation-free technique uses strong magnetic fields and radio waves to produce detailed images with the help of a computer. MRU is particularly effective for visualizing fluid-filled structures like the kidneys, ureters, and bladder.Applications of MRI in the Genitourinary SystemKidneys and Ureters: MRI detects tumors, cysts,...

You might also read

Related Articles

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

Sort by
Same author

AI-guided automated identification of patients at high risk for hepatocellular carcinoma in large US and global datasets.

JHEP reports : innovation in hepatology·2026
Same author

Outcomes of Transjugular Intrahepatic Portosystemic Shunt with Portal Vein Recanalization in Cirrhotic Patients with Acute Portal Vein Thrombosis: A Single-Center Study.

Cardiovascular and interventional radiology·2026
Same author

Patient-Centered Communication in Telehealth Settings.

JAMA network open·2026
Same author

Safety and Effectiveness of Radiation Lobectomy for Primary Liver Cancers Using Resin Microspheres.

Journal of vascular and interventional radiology : JVIR·2026
Same author

How Social Determinants of Health Affect Outcomes Following Rotator Cuff Repair.

Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews·2026
Same author

Dr. Temple Grandin: Neuropsychological Assessment and a Multimodal Neuroimaging Case Study of a Distinguished Scientist, Educator, and Person With Autism.

Journal of pediatric neuropsychology·2025
Same journal

Neural Markers of Interocular Grouping During Binocular Rivalry With MEG.

Human brain mapping·2026
Same journal

Neural Correlates of Explicit Outcome Expectation Effects: An Activation Likelihood Estimation Meta-Analysis.

Human brain mapping·2026
Same journal

Benchmarking fMRI Denoising Pipelines.

Human brain mapping·2026
Same journal

Modeled Long-Term Effects of Psilocybin on Dynamic Activity and Effective Connectivity of Fronto-Striatal-Thalamic Circuits.

Human brain mapping·2026
Same journal

Intrinsic Functional Architecture Reflects Individual Differences in Passive Working Memory: An Exploratory Resting-State fMRI Study.

Human brain mapping·2026
Same journal

Symptom Overlap and Neurobiological Similarities Between Posttraumatic Stress Disorder and Tinnitus.

Human brain mapping·2026
See all related articles

Related Experiment Video

Updated: May 23, 2026

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

A framework for the analysis of phantom data in multicenter diffusion tensor imaging studies.

Lindsay Walker1, Michael Curry, Amritha Nayak

  • 1Program on Pediatric Imaging and Tissue Sciences, NICHD, NIH, Bethesda, Maryland; Center for Neuroscience and Regenerative Medicine at the Uniformed Services University of the Health Sciences, Bethesda, Maryland.

Human Brain Mapping
|March 31, 2012
PubMed
Summary
This summary is machine-generated.

Multicenter diffusion tensor imaging (DTI) studies require careful variance analysis. A two-step framework identifies outliers and quantifies intersite/intrasite variability, improving data quality and acquisition monitoring.

Keywords:
DTIaccuracydiffusion tensor imagingmulticenterpediatricreproducibility

More Related Videos

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

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging
12:21

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging

Published on: September 12, 2011

Related Experiment Videos

Last Updated: May 23, 2026

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

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

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging
12:21

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging

Published on: September 12, 2011

Area of Science:

  • Neuroimaging
  • Biomedical Engineering
  • Data Science

Background:

  • Diffusion tensor imaging (DTI) is crucial for studying white matter microstructure.
  • Multicenter studies enhance sampling diversity but introduce site-specific data variability.
  • Characterizing variance is essential for reliable data pooling in multicenter research.

Purpose of the Study:

  • To propose a two-step analysis framework for multicenter DTI studies.
  • To identify and quantify intersite and intrasite contributions to data variance.
  • To improve the quality and reliability of multicenter neuroimaging data.

Main Methods:

  • A two-step framework: 1) outlier dataset identification, 2) parametric variance analysis.
  • Application of the framework to phantom data from the NIH MRI study of normal brain development (PedsMRI).
  • Assessment of intersite and intrasite variability in acquired DTI data.

Main Results:

  • Outlier identification is critical for accurate variance assessment.
  • The framework effectively distinguishes between intersite and intrasite variability.
  • Early detection of data acquisition issues is facilitated by the proposed method.

Conclusions:

  • The proposed framework enhances the accuracy of variance analysis in multicenter DTI studies.
  • Regular application of this framework during data acquisition aids problem-solving.
  • This approach ensures more robust and reliable neuroimaging data for research.