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

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...

You might also read

Related Articles

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

Sort by
Same author

Mapping radiosensitivity in glioblastoma using MR elastography and biomechanical modeling.

Scientific reports·2026
Same author

Stable individual differences dominate adult brain volume variation until later life.

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

Automated delineation of putative non-contrast-enhancing tumor in glioblastoma: Prognostic insights.

Neuro-oncology·2026
Same author

Biomechanical mapping of tumor growth: A novel method to quantify glioma infiltration and mass effect.

Medical physics·2026
Same author

Comparing Glymphatic Function Measures: Diffusion Tensor Image Analysis Along Perivascular Spaces (DTI-ALPS) versus Intrathecal Contrast-Enhanced MRI.

Radiology·2026
Same author

Modeling glioma-induced impairments on the glymphatic system.

Fluids and barriers of the CNS·2026

Related Experiment Video

Updated: Jun 16, 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 fully automated method for quantitative cerebral hemodynamic analysis using DSC-MRI.

Atle Bjørnerud1, Kyrre E Emblem

  • 1Department of Medical Physics, The Interventional Centre, Rikshospitalet, Oslo University Hospital, Oslo, Norway. atle.bjornerud@rikshospitalet.no

Journal of Cerebral Blood Flow and Metabolism : Official Journal of the International Society of Cerebral Blood Flow and Metabolism
|January 21, 2010
PubMed
Summary
This summary is machine-generated.

This study introduces an automated framework for quantitative dynamic susceptibility contrast (DSC) perfusion analysis in glioma patients. The method provides accurate hemodynamic maps, improving clinical assessment of cerebral blood volume (CBV).

More Related Videos

Non-invasive Optical Measurement of Cerebral Metabolism and Hemodynamics in Infants
11:39

Non-invasive Optical Measurement of Cerebral Metabolism and Hemodynamics in Infants

Published on: March 14, 2013

Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy
07:13

Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy

Published on: May 27, 2020

Related Experiment Videos

Last Updated: Jun 16, 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

Non-invasive Optical Measurement of Cerebral Metabolism and Hemodynamics in Infants
11:39

Non-invasive Optical Measurement of Cerebral Metabolism and Hemodynamics in Infants

Published on: March 14, 2013

Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy
07:13

Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy

Published on: May 27, 2020

Area of Science:

  • Neuroimaging
  • Medical Physics
  • Oncology

Background:

  • Dynamic susceptibility contrast (DSC)-based perfusion analysis is established for cerebral blood volume (CBV) in glioma.
  • Quantitative perfusion analysis is complex and lacks clinical stability.
  • Current methods offer limited quantitative insights into glioma perfusion.

Purpose of the Study:

  • To develop a fully automated analysis framework for quantitative DSC-based perfusion analysis.
  • To generate quantitative hemodynamic maps without user interaction.
  • To enable automatic segmentation of normal-appearing cerebral tissue for reliable reference values.

Main Methods:

  • Development of a fully automated analysis framework for DSC perfusion MRI.
  • Implementation of automatic segmentation for normal-appearing brain tissue.
  • Validation using raw DSC data from 101 glioma patients post-surgery.

Main Results:

  • The automated framework generated quantitative hemodynamic maps (CBF, CBV, MTT) in good agreement with literature values.
  • Age- and gender-related variations in perfusion parameters were consistent with existing data.
  • Comparison revealed significant dependence of perfusion metrics on the chosen analysis method and parameters.

Conclusions:

  • An accurate, fast, and automatic quantitative perfusion analysis method for DSC MRI was developed.
  • The method relies solely on raw DSC data, simplifying clinical application.
  • This framework enhances the quantitative assessment of perfusion in glioma patients.