Multi-channel registration for diffusion mri: longitudinal analysis for the neonatal brain

Alena Uus*, Maximilian Pietsch, Irina Grigorescu, Daan Christiaens, Jacques Donald Tournier, Lucilio Cordero Grande, Jana Hutter, David Edwards, Joseph Hajnal, Maria Deprez

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

2 Citations (Scopus)


In multi-channel (MC) registration, fusion of structural and diffusion brain MRI provides information on both cortex and white matter (WM) structures thus decreasing the uncertainty of deformation fields. However, the existing solutions employ only diffusion tensor imaging (DTI) derived metrics which are limited by inconsistencies in fiber-crossing regions. In this work, we extend the pipeline for registration of multi-shell high angular resolution diffusion imaging (HARDI) [15] with a novel similarity metric based on angular correlation and an option for multi-channel registration that allows incorporation of structural MRI. The contributions of channels to the displacement field are weighted with spatially varying certainty maps. The implementation is based on MRtrix3 (MRtrix3: toolbox. The approach is quantitatively evaluated on intra-patient longitudinal registration of diffusion MRI datasets of 20 preterm neonates with 7–11 weeks gap between the scans. In addition, we present an example of an MC template generated using the proposed method.

Original languageEnglish
Title of host publicationBiomedical Image Registration - 9th International Workshop, WBIR 2020, Proceedings
EditorsZiga Spiclin, Jamie McClelland, Jan Kybic, Orcun Goksel
Number of pages11
ISBN (Print)9783030501198
Publication statusPublished - 1 Jan 2020
Event9th International Workshop on Biomedical Image Registration, WBIR 2020 - Portoroz, Slovenia
Duration: 1 Dec 20202 Dec 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12120 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference9th International Workshop on Biomedical Image Registration, WBIR 2020


  • Certainty maps
  • Fibre orientation distribution registration
  • High angular resolution diffusion imaging
  • Multi-channel registration


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