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Mapping fetal brain development based on automated segmentation and 4D brain atlasing.

Haotian Li1, Guohui Yan2, Wanrong Luo1

  • 1Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, Zhejiang, China.

Brain Structure & Function
|May 29, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces an automated pipeline for fetal brain MRI analysis, creating a 4D atlas for mapping brain development in fetuses up to 36 weeks gestation.

Keywords:
Chinese fetal brain atlasFetal brain extractionMorphological developmentSuper-resolution reconstructionU-net convolutional network

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Area of Science:

  • Neuroimaging
  • Developmental Biology
  • Medical Image Analysis

Background:

  • Fetal brain MRI is crucial for assessing in utero development and disorders.
  • Quantitative analysis is hindered by a lack of automated preprocessing tools and normative brain templates.
  • Developing standardized methods is essential for accurate fetal neurodevelopmental assessment.

Purpose of the Study:

  • To develop an automated pipeline for fetal brain extraction, super-resolution reconstruction, and atlasing.
  • To quantitatively map in utero fetal brain development in a Chinese population from 23 to 36 weeks gestation.
  • To provide normative templates for characterizing fetal brain development.

Main Methods:

  • A U-net convolutional neural network was designed for automated fetal brain extraction, achieving 97% accuracy.
  • An iterative linear and nonlinear registration approach was used to generate a developing fetal brain atlas.
  • A 4D spatiotemporal atlas was created to quantify morphological development.

Main Results:

  • The automated pipeline successfully enabled fully automated volumetric reconstruction of fetal brain MRI data.
  • The 4D fetal brain atlas provides normative templates for quantitative analysis.
  • Morphological development was quantified between 23 and 36 weeks gestation.

Conclusions:

  • The proposed automated pipeline enhances quantitative analysis of fetal brain MRI.
  • The 4D fetal brain atlas serves as a valuable tool for assessing neurodevelopment, particularly in the Chinese population.
  • This work facilitates more accurate and standardized evaluation of fetal brain development.