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Related Experiment Video

Updated: May 20, 2026

Image Processing Protocol for the Analysis of the Diffusion and Cluster Size of Membrane Receptors by Fluorescence Microscopy
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Published on: April 9, 2019

HOMOR: higher order model outlier rejection for high b-value MR diffusion data.

Kerstin Pannek1, David Raffelt, Christopher Bell

  • 1The University of Queensland, Centre for Clinical Research, Brisbane, Australia.

Neuroimage
|July 24, 2012
PubMed
Summary
This summary is machine-generated.

HOMOR, a new method for detecting diffusion MRI artefacts, outperforms traditional RESTORE at high b-values. This improves outlier detection in complex brain fibre regions for better imaging quality.

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Diffusion Imaging in the Rat Cervical Spinal Cord
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Last Updated: May 20, 2026

Image Processing Protocol for the Analysis of the Diffusion and Cluster Size of Membrane Receptors by Fluorescence Microscopy
12:15

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Published on: April 9, 2019

Diffusion Imaging in the Rat Cervical Spinal Cord
10:46

Diffusion Imaging in the Rat Cervical Spinal Cord

Published on: April 7, 2015

Area of Science:

  • Neuroimaging
  • Medical Physics
  • Diffusion MRI

Background:

  • Diffusion MRI data are susceptible to motion and cardiac artefacts.
  • Existing outlier detection methods like RESTORE struggle with complex fibre architectures at high b-values.

Purpose of the Study:

  • Introduce and evaluate HOMOR (higher order model outlier rejection) for artefact detection in diffusion MRI.
  • Compare HOMOR's performance against RESTORE, particularly with high b-value data.

Main Methods:

  • Developed HOMOR, a higher-order model capable of resolving multiple fibre populations within a voxel.
  • Applied HOMOR and RESTORE to high b-value (3000 s/mm2) diffusion data from 90 healthy participants and simulated data.
  • Also tested methods on lower b-value (1000 s/mm2) data from a mixed cohort.

Main Results:

  • HOMOR identified fewer outlier voxels than RESTORE in areas with crossing, bending, and fanning fibres at high b-values.
  • RESTORE and HOMOR produced similar results at lower b-values.
  • HOMOR demonstrated superior performance in complex fibre regions with high b-value data.

Conclusions:

  • HOMOR is a more suitable method for artefact detection in high b-value diffusion MRI data.
  • RESTORE remains adequate for low b-value diffusion MRI data.
  • HOMOR enhances the accuracy of outlier detection in challenging diffusion MRI scenarios.