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Easy Measurement of Diffusion Coefficients of EGFP-tagged Plasma Membrane Proteins Using k-Space Image Correlation Spectroscopy

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Double-pulsed diffusional kurtosis imaging.

Jens H Jensen¹, Edward S Hui, Joseph A Helpern

¹Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA; Center for Biomedical Imaging, Medical University of South Carolina, Charleston, SC, USA.

NMR in Biomedicine

|March 29, 2014

Summary

This summary is machine-generated.

Double-pulsed field gradient (d-PFG) diffusion MRI extends Diffusional Kurtosis Imaging (DKI). This new method, Double-pulsed DKI (DP-DKI), captures unique information from d-PFG data for advanced analysis.

Keywords:

MRI diffusion double-pulsed field gradient kurtosis microscopic anisotropy mouse non-Gaussian tensor

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Area of Science:

Magnetic Resonance Imaging
Biophysics
Neuroimaging

Background:

Conventional diffusion MRI uses single-pulsed field gradients (s-PFG).
Diffusional Kurtosis Imaging (DKI) quantifies non-Gaussian diffusion.
Limitations exist in extracting comprehensive diffusion information with s-PFG.

Purpose of the Study:

To extend Diffusional Kurtosis Imaging (DKI) to double-pulsed-field-gradient (d-PFG) diffusion MRI sequences.
To develop a practical framework for acquiring and analyzing d-PFG data.
To interpret d-PFG effects using kurtosis in a six-dimensional (6D) space.

Main Methods:

Implementation of double-pulsed-field-gradient (d-PFG) sequences.
Acquisition and analysis of d-PFG diffusion MRI data.
Interpretation of diffusion displacement probability density function (dPDF) kurtosis in 6D space.

Main Results:

Developed Double-pulsed DKI (DP-DKI) for d-PFG sequences.
Derived a compact signal magnitude expression based on 6D kurtosis.
Demonstrated DP-DKI on in vivo mouse brain data at 7T.

Conclusions:

DP-DKI provides a novel approach to analyze d-PFG data.
The 6D diffusional kurtosis captures unique information beyond s-PFG.
DP-DKI offers potential for advanced neuroimaging analysis.