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The developing human connectome project: A minimal processing pipeline for neonatal cortical surface reconstruction.

Antonios Makropoulos1, Emma C Robinson2, Andreas Schuh1

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Summary

A new automated pipeline processes neonatal brain MRI scans for the Developing Human Connectome Project (dHCP). This method accurately maps brain development, improving segmentation and surface models for connectivity research.

Keywords:
Cortical surface reconstructionDeveloping human connectome projectNeonatal MRIPipelineSegmentationdHCP

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Area of Science:

  • Neuroscience
  • Developmental Biology
  • Medical Imaging

Background:

  • The Developing Human Connectome Project (dHCP) aims to map early-life brain development.
  • Understanding neonatal brain development is crucial for identifying normal and abnormal patterns.
  • Existing processing pipelines, like FreeSurfer, require adaptation for neonatal brain MRI.

Purpose of the Study:

  • To propose a fully automated processing pipeline for structural Magnetic Resonance Imaging (MRI) of the developing neonatal brain.
  • To address the unique challenges of processing neonatal brain MRI data, differing significantly from adult data.
  • To generate accurate cortical surface models for further analysis of brain connectivity.

Main Methods:

  • Development of a refined framework for automated cortical and sub-cortical volume segmentation.
  • Implementation of cortical surface extraction and inflation techniques tailored for neonatal brains.
  • Validation of the pipeline using 465 neonatal subjects aged 28-45 weeks post-menstrual age (PMA).

Main Results:

  • The automated pipeline successfully processed all 465 neonatal subjects.
  • Generated cortical surface models were topologically correct and matched manual evaluations in 85% of cases.
  • The pipeline demonstrated improved neonatal tissue segmentation, with significant errors in only 2% of subjects (those with high motion).

Conclusions:

  • The proposed automated pipeline is effective for processing neonatal brain MRI data.
  • This method provides accurate and topologically correct cortical surface models, enhancing downstream analysis.
  • The pipeline supports the Developing Human Connectome Project's goal of modeling emerging brain connectivity patterns in early life.