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Related Experiment Video

Updated: Mar 25, 2026

Diffusion Imaging in the Rat Cervical Spinal Cord

Diffusion Imaging in the Rat Cervical Spinal Cord

Published on: April 7, 2015

Real valued diffusion-weighted imaging using decorrelated phase filtering.

Tim Sprenger^1,2, Jonathan I Sperl², Brice Fernandez³

¹Technische Universität München, Institute of Medical Engineering, Munich, Germany.

Magnetic Resonance in Medicine

|February 25, 2016

Summary

This summary is machine-generated.

A new phase correction technique improves diffusion-weighted imaging (DWI) by reducing noise bias and enhancing contrast. This method provides more accurate diffusion model estimation and better tissue microstructure insights.

Keywords:

Rice distribution bias diffusion weighted imaging non-Gaussian noise phase correction

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Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

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Published on: November 8, 2012

Area of Science:

Magnetic Resonance Imaging
Diffusion-Weighted Imaging (DWI)

Background:

Diffusion-weighted imaging (DWI) suffers from low signal-to-noise ratio.
Magnitude processing in DWI can lead to signal overestimation and reduced contrast.

Purpose of the Study:

To introduce a novel phase correction (PC) technique for DWI.
To yield real-valued diffusion data with maintained Gaussian noise distribution.

Main Methods:

Simulated noise propagation in echo-planar imaging reconstruction.
Derived optimized filter kernels using spatial noise correlation patterns.
Implemented an outlier detection technique for signal loss compensation.

Main Results:

The improved PC approach significantly reduces noise bias in DWI.
Demonstrated benefits on simulations, healthy volunteer data, and diffusion imaging models.
Showed only a slight increase in sensitivity to local phase variations.

Conclusions:

Phase correction enhances the utility of higher b-values in DWI.
The technique allows for deeper insights into tissue microstructure.
Improved PC increases the accuracy and contrast of diffusion imaging.