Article

Computerized analysis of magnetic resonance images to study cerebral anatomy in developing neonates

2008-01-01

Abstract excerpt

The study of cerebral anatomy in developing neonates is of great importance for the understanding of brain development during the early period of life. This dissertation therefore focuses on three challenges in the modelling of cerebral anatomy in neonates during brain development. The methods that have been developed all use Magnetic Resonance Images (MRI) as source data. To facilitate study of vascular developme...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 7cbfe8c4-151c-5de7-aac7-04521817b70a
DOI: 10.25560/1373

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Computerized analysis of magnetic resonance images to study cerebral anatomy in developing neonatesDOI 10.25560/1373Read

Multi-channel 4D parametrized Atlas of Macro- and Microstructural Neonatal Brain DevelopmentSemantic proximity Read

Mapping fetal brain development based on automated segmentation and 4D brain atlasingSemantic proximity Read

The Developing Human Connectome Project: a Minimal Processing Pipeline for Neonatal Cortical Surface ReconstructionSemantic proximity Read

Automated assessment of neonatal internal capsule maturation on T2-weighted MRI across 7T and 3TSemantic proximity Read

Three‐dimensional micro‐MRI analysis of cerebral artery development in mouse embryosSemantic proximity Read

The effect of preterm birth on neonatal cerebral vasculature studied with magnetic resonance angiography at 3 Tesla.Semantic proximity Read

Non-Negative Data-Driven Mapping of Structural Connections in the Neonatal BrainSemantic proximity Read

Neuroimaging of cortical development and brain connectivity in human newborns and animal models.Semantic proximity Read

Brain Templates for Chinese Babies from Newborn to Three Months of AgeSemantic proximity Read

Automated MRI Lung Segmentation and 3D Morphological Features for Quantification of Neonatal Lung DiseaseSemantic proximity Read

Deep learning microstructure estimation of developing brains from diffusion MRI: a newborn and fetal studySemantic proximity Read

3D T2w fetal body MRI: automated organ volumetry, growth charts and population-averaged atlasSemantic proximity Read