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An iterative multi-atlas patch-based approach for cortex segmentation from neonatal MRI

Carlos Tor-Díez1, Nicolas Passat2, Isabelle Bloch3

  • 1IMT Atlantique, LaTIM U1101 INSERM, UBL, Brest, France.

Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society
|October 9, 2018
PubMed

Insights

This study introduces a new method for analyzing newborn brain structure, specifically the cortex, using magnetic resonance imaging (MRI). The approach improves segmentation accuracy for preterm neonates, aiding in developmental predictions.

Area of Science:

  • Neuroimaging
  • Medical Image Analysis
  • Developmental Neuroscience

Background:

  • Neonatal brain structure analysis is crucial for predicting child development, especially in preterm infants.
  • Magnetic resonance imaging (MRI) is used for observing brain structures like the cortex.
  • Neonatal MRI data present unique processing challenges.

Purpose of the Study:

  • To develop an improved method for robust cortex segmentation in neonatal MRI data.
  • To address the challenges associated with processing neonatal MRI data.
  • To enhance the accuracy of brain structure analysis in preterm neonates.

Main Methods:

  • A multi-atlas strategy leveraging pre-processed images.
  • Integration of a non-local patch-based model with an iterative optimization scheme.
  • Consideration of image information and current segmentation within the patch-based approach.

Main Results:

  • The proposed method demonstrates robust cortex segmentation results on dHCP datasets.
  • Experimental comparisons indicate superior performance compared to existing multi-atlas methods.
  • The coupled patch-based and iterative optimization strategy enhances segmentation accuracy.

Conclusions:

  • The novel multi-atlas approach offers a significant advancement in neonatal brain MRI analysis.
  • Accurate cortex segmentation is vital for early detection and intervention in developmental disorders.
  • This method provides a reliable tool for researchers and clinicians studying infant brain development.

Keywords:
CortexIterative segmentationMulti-atlasNeonatal MRIPatch-based segmentation

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