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Magnetic Resonance Imaging

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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...

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Updated: Jun 27, 2026

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

Increasing spatial coverage for high-resolution functional MRI.

Yanle Hu¹, Gary H Glover

¹University of Texas at Austin, Imaging Research Center, Austin, Texas 78759, USA. ylhu@mail.utexas.edu

Magnetic Resonance in Medicine

|December 20, 2008

Summary

This summary is machine-generated.

This study introduces a novel method for high-resolution functional MRI (fMRI) to double spatial coverage without increasing scan time. The technique combines undersampled 3D stack-of-spirals acquisition with UNFOLD for improved brain imaging.

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High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain

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Published on: May 10, 2012

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Optogenetic Functional MRI

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Published on: April 19, 2016

Area of Science:

Neuroimaging
Magnetic Resonance Imaging
Biomedical Engineering

Background:

High-resolution functional MRI (fMRI) faces challenges with limited spatial coverage due to temporal resolution trade-offs.
Insufficient slice coverage necessitates additional scans, increasing acquisition time and data interpretation complexity.

Purpose of the Study:

To develop a method for significantly increasing spatial coverage in high-resolution fMRI.
To maintain or improve the quality of functional activation maps while enhancing spatial coverage.

Main Methods:

Combines undersampled 3D stack-of-spirals acquisition with the UNFOLD technique.
Undersampling enables fitting more slices within a given temporal resolution.
3D acquisitions compensate for signal-to-noise ratio (SNR) drop through increased excited volume.

Main Results:

Achieves twice the spatial coverage with the same total scan time.
Demonstrates similar quality of functional activation maps compared to conventional methods.
Experimental validation on normal subjects confirmed the theoretical findings.

Conclusions:

The proposed method effectively enhances spatial coverage in high-resolution fMRI.
This technique offers a solution to the trade-off between spatial coverage and temporal resolution.
Potential to improve efficiency and reduce complexity in fMRI studies.