Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Brain Imaging

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans), magnetic resonance imaging (MRI), functional magnetic resonance imaging (fMRI), and Transcranial Magnetic Stimulation (TMS).

Assessment of Diffusion and Perfusion

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...

Magnetic Resonance Imaging

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

Global prevalence and associated factors of turnover intention among intensive care nurses: A systematic review and meta-analysis.

Intensive & critical care nursing·2026

Same author

Extraction techniques, structural features, structure-activity relationships and mechanisms of Imperata cylindrica polysaccharides against hyperuricemic nephropathy: A review.

Carbohydrate research·2026

Same author

High-frequency oscillations and sleep spindles in epilepsy: from mechanisms to modeling.

Frontiers in neurology·2026

Same author

A comprehensive review of Stropharia rugosoannulata polysaccharides: Extraction methods, isolation and purification, structural features, chemical modification, biological activities, and application prospects.

Carbohydrate research·2026

Same author

Oral liver-targeted delivery systems for anti-hyperglycemic therapy: From passive to active targeting strategies.

Colloids and surfaces. B, Biointerfaces·2026

Same author

Unlocking the potential of Pineapple (Ananas comosus) polysaccharides: A review on extraction methods, structures, bioactive properties and food applications.

Carbohydrate research·2026

Search research articles

Related Experiment Video

Updated: Jun 8, 2026

Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers

Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers

Published on: July 17, 2012

Diffusion imaging of brain tumors.

Stephan E Maier¹, Yanping Sun, Robert V Mulkern

¹Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA. stephan@bwh.harvard.edu

NMR in Biomedicine

|October 2, 2010

Summary

Magnetic resonance imaging (MRI) diffusion imaging helps characterize brain tumors by measuring water mobility. Advanced analysis reveals more detailed tissue properties than previously assumed for better tumor and edema differentiation.

More Related Videos

Role of Diffusion MRI Tractography in Endoscopic Endonasal Skull Base Surgery

Role of Diffusion MRI Tractography in Endoscopic Endonasal Skull Base Surgery

Published on: July 5, 2021

Modeling Brain Metastases Through Intracranial Injection and Magnetic Resonance Imaging

Modeling Brain Metastases Through Intracranial Injection and Magnetic Resonance Imaging

Published on: June 7, 2020

Related Experiment Videos

Last Updated: Jun 8, 2026

Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers

Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers

Published on: July 17, 2012

Role of Diffusion MRI Tractography in Endoscopic Endonasal Skull Base Surgery

Role of Diffusion MRI Tractography in Endoscopic Endonasal Skull Base Surgery

Published on: July 5, 2021

Modeling Brain Metastases Through Intracranial Injection and Magnetic Resonance Imaging

Modeling Brain Metastases Through Intracranial Injection and Magnetic Resonance Imaging

Published on: June 7, 2020

Area of Science:

Neuroimaging
Radiology
Biophysics

Background:

Magnetic resonance imaging (MRI) diffusion imaging is crucial for brain tumor characterization.
Current clinical diffusion imaging assumes monoexponential signal decay, enabling basic tumor categorization.
Elevated diffusion coefficients in tumors and surrounding edema complicate precise tumor delineation.

Purpose of the Study:

To explore advanced diffusion imaging analysis beyond monoexponential decay for improved brain tumor characterization.
To investigate the utility of diffusion measurements across extended b-factor ranges and directional dependence.
To assess the potential of advanced diffusion metrics for differentiating malignant tumors, edema, and normal brain tissue.

Main Methods:

Acquisition of diffusion MRI data over an extended range of b-factors.
Analysis of diffusion signal decay, moving beyond the monoexponential model.
Measurement of the directional dependence of diffusion (anisotropy) to assess white matter integrity.

Main Results:

The monoexponential model of diffusion signal decay is insufficient for comprehensive tissue characterization.
Advanced analysis, despite potential resolution trade-offs at high b-factors, significantly improves separation of tumors, edema, and normal tissue.
Diffusion anisotropy measurements provide valuable information on white matter integrity, aiding therapy planning.

Conclusions:

Advanced diffusion MRI analysis offers superior characterization of brain tumors and associated pathologies compared to standard methods.
Understanding tissue-specific diffusion properties, including membrane effects, is key to interpreting diffusion signals.
Further improvements in acquisition speed and spatial resolution are needed for broader clinical adoption of advanced diffusion techniques.