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Diffusion Imaging in the Rat Cervical Spinal Cord

Diffusion Imaging in the Rat Cervical Spinal Cord

Published on: April 7, 2015

Optimal diffusion weighting for in vivo cardiac diffusion tensor imaging.

Andrew D Scott^1,2, Pedro F A D C Ferreira^1,2, Sonia Nielles-Vallespin^1,3

¹NIHR Cardiovascular Biomedical Research Unit, Royal Brompton Hospital, London, UK.

Magnetic Resonance in Medicine

|August 27, 2014

Summary

This summary is machine-generated.

Optimizing diffusion weighting in cardiac diffusion tensor imaging (cDTI) improves parameter maps by mitigating microvascular perfusion effects. An optimal protocol enhances sensitivity to pathological changes.

Keywords:

DTI b-value cardiac diffusion diffusion weighting microvascular perfusion

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Area of Science:

Cardiovascular Imaging
Diffusion Tensor Imaging
Medical Physics

Background:

In vivo cardiac diffusion tensor imaging (cDTI) is crucial for assessing myocardial microstructure.
Understanding the impact of diffusion weighting parameters is essential for accurate cDTI analysis.

Purpose of the Study:

To investigate the influence of diffusion weighting on in vivo cDTI.
To determine optimal parameters for improved cardiac diffusion tensor imaging.

Main Methods:

Ten subjects underwent stimulated echo acquisition mode echo planar imaging with varying b-values (50-950 s·mm⁻², plus a 15 s·mm⁻² reference).
Signal decay, signal-to-noise ratio, mean diffusivity, fractional anisotropy, and helical angle maps were analyzed.
The effects of diffusion weighting on main and reference data were evaluated using all b-value pairs.

Main Results:

Low b-values showed signal decay influenced by microvascular perfusion, which was mitigated by weighting reference images.
Parameter maps improved with higher b-values until the signal neared the noise floor.
Optimal parameters were identified as b=750 s·mm⁻² for main data and b=150 s·mm⁻² for reference data.

Conclusions:

cDTI parameters (mean diffusivity, fractional anisotropy, helical angle) are significantly influenced by b-value choices.
Optimized diffusion weighting improves parameter maps and reduces artifacts from microvascular perfusion.
This optimized protocol enhances the sensitivity of cDTI for detecting cardiac pathologies.