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Related Experiment Video

Updated: Apr 25, 2026

Diffusion Imaging in the Rat Cervical Spinal Cord

Diffusion Imaging in the Rat Cervical Spinal Cord

Published on: April 7, 2015

A simple noise correction scheme for diffusional kurtosis imaging.

G Russell Glenn¹, Ali Tabesh², Jens H Jensen²

¹Center for Biomedical Imaging, Medical University of South Carolina, Charleston, SC, USA; Department of Neurosciences, Medical University of South Carolina, Charleston, SC, USA.

Magnetic Resonance Imaging

|September 1, 2014

Summary

This summary is machine-generated.

A new noise correction method significantly improves diffusional kurtosis imaging (DKI) accuracy. This technique enhances DKI parameter estimates, especially in low signal-to-noise ratio conditions, making it valuable for brain imaging.

Keywords:

Brain Diffusion Kurtosis Noise Phantom Rician

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Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Published on: July 28, 2013

Area of Science:

Neuroimaging
Biomedical Engineering
Medical Physics

Background:

Diffusional kurtosis imaging (DKI) is susceptible to noise artifacts.
Higher-order modeling in DKI amplifies signal noise effects.

Purpose of the Study:

To introduce a simple noise correction scheme for DKI.
To mitigate noise bias in estimated diffusional kurtosis.

Main Methods:

Employed weighted linear least squares (WLLS) fitting.
Utilized voxel-wise, subtraction-based noise correction from multiple acquisitions.
Validated in phantom experiments and in vivo human brain.

Main Results:

Noise correction reduced phantom diffusional kurtosis errors to <5% (vs. 44% uncorrected) at SNR > 2.1.
Improved DKI parameter estimates in human brain, particularly with low SNR.
Demonstrated effectiveness in reducing noise bias.

Conclusions:

The proposed technique effectively removes noise bias in DKI.
The method is computationally simple and integrates easily into WLLS DKI algorithms.
Applicable for both phantom and in vivo human brain DKI analysis.