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

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

Editorial: Exploring neuromodulation and neuroimaging techniques for psychiatric disorders: insights from preclinical and clinical studies.

Frontiers in human neuroscience·2026

Same author

Enhancing precision in multiple sclerosis lesion segmentation: A U-net based machine learning approach with data augmentation.

Neuroimage. Reports·2025

Same author

Activation of phospholipase A2 by prostaglandin in vitro.

Prostaglandins & other lipid mediators·2020

Same author

Classification of cocaine-dependent participants with dynamic functional connectivity from functional magnetic resonance imaging data.

Journal of neuroscience research·2019

Same author

Exploring brain mechanisms underlying Gulf War Illness with group ICA based analysis of fMRI resting state networks.

Neuroscience letters·2019

Same author

How Can Radiomics Be Consistently Applied across Imagers and Institutions?

Radiology·2019

Search research articles

Related Experiment Video

Updated: Jul 8, 2026

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

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

Published on: May 27, 2020

Cerebral blood flow estimation from perfusion-weighted MRI using FT-based MMSE filtering method.

Unal Sakoglu¹, Rohit Sood

¹Department of Neurology, BRaIN Imaging Center, University of New Mexico, Albuquerque, NM 87131, USA.

Magnetic Resonance Imaging

|December 26, 2007

Summary

A novel Fourier Transform (FT)-based method using minimum mean-squared error (MMSE) offers a stable approach for estimating cerebral blood flow (CBF) from perfusion MRI, outperforming Singular Value Decomposition (SVD) in certain conditions.

More Related Videos

Construction and Application of Cerebral Functional Region-Based Cerebral Blood Flow Atlas Using Magnetic Resonance Imaging-Arterial Spin Labeling

Construction and Application of Cerebral Functional Region-Based Cerebral Blood Flow Atlas Using Magnetic Resonance Imaging-Arterial Spin Labeling

Published on: May 31, 2024

High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain

High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain

Published on: May 10, 2012

Related Experiment Videos

Last Updated: Jul 8, 2026

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

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

Published on: May 27, 2020

Construction and Application of Cerebral Functional Region-Based Cerebral Blood Flow Atlas Using Magnetic Resonance Imaging-Arterial Spin Labeling

Construction and Application of Cerebral Functional Region-Based Cerebral Blood Flow Atlas Using Magnetic Resonance Imaging-Arterial Spin Labeling

Published on: May 31, 2024

High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain

High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain

Published on: May 10, 2012

Area of Science:

Medical Imaging
Magnetic Resonance Imaging
Biophysics

Background:

Perfusion-weighted MRI estimates blood flow using dynamic susceptibility contrast MRI.
Singular Value Decomposition (SVD) and Fourier Transform (FT)-based deconvolution are common techniques for parameter extraction.

Purpose of the Study:

To propose and evaluate an FT-based method for estimating blood flow parameters.
To compare the proposed FT-based method with the established SVD technique using simulations.

Main Methods:

Developed an FT-based method incorporating an optimal shaped filter derived via minimum mean-squared error (MMSE).
Simulated perfusion MRI data with varying noise levels and arterial input function (AIF) distortions.
Compared the FT-based MMSE method against the SVD technique, using SVD as the reference.

Main Results:

The FT-based technique demonstrated greater stability than SVD under low-noise conditions.
Both techniques underestimated cerebral blood flow (CBF) in moderate noise.
SVD showed more stability with AIF distortions, but the FT-based method was more robust to AIF delay.

Conclusions:

The FT-based MMSE method provides a stable alternative for CBF estimation in perfusion MRI.
The choice of deconvolution technique impacts CBF estimation accuracy, particularly with noise and AIF variations.
The shaped filter function's sensitivity to AIF distortions warrants further investigation.