Tracking developmental changes in subcortical structures of the preterm brain using multi-modal MRI

@article{Serag2011TrackingDC,
  title={Tracking developmental changes in subcortical structures of the preterm brain using multi-modal MRI},
  author={Ahmed M. Serag and Paul Aljabar and Serena J. Counsell and James P. Boardman and Joseph V. Hajnal and Daniel Rueckert},
  journal={2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro},
  year={2011},
  pages={349-352}
}
  • A. Serag, P. Aljabar, D. Rueckert
  • Published 9 June 2011
  • Biology
  • 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro
Preterm birth is associated with abnormal brain development and long-term neurodevelopmental impairment. Quantitative magnetic resonance (MR) studies of preterm brain injury have focused on morphological features such as shape and volume and on measures of tissue microstructure obtained from diffusion tensor imaging. In this work, we focus on longitudinal changes in signal intensity, which can offer a useful marker for mapping developmental changes. The proposed analysis framework utilises… 

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References

SHOWING 1-10 OF 20 REFERENCES

A new framework for analyzing white matter maturation in early brain development

TLDR
A new framework for analyzing early maturation in white matter is proposed that generates a normative spatiotemporal model and provides 3D maps of absolute and relative indices of maturation.

Recent advances in imaging preterm brain injury.

TLDR
How state of the art MR imaging techniques have helped to define the neural systems affected by preterm birth, and have provided insights into understanding mechanisms of injury are discussed.

Quantitative magnetic resonance imaging of brain development in premature and mature newborns

TLDR
The application of 3D MRI and tissue segmentation to the study of human infant brain from 29 to 41 weeks of postconceptional age has provided new insights into cerebral cortical development and myelination and has for the first time provided means of quantitative assessment in vivo of early human brain development.

Temporal and Spatial Development of Axonal Maturation and Myelination of White Matter in the Developing Brain

TLDR
With both FA and directional diffusivities, the results demonstrate the temporal and spatial development of WM in healthy children younger than 2 years of age.

Automatic segmentation and reconstruction of the cortex from neonatal MRI

Fast robust automated brain extraction

TLDR
An automated method for segmenting magnetic resonance head images into brain and non‐brain has been developed and described and examples of results and the results of extensive quantitative testing against “gold‐standard” hand segmentations, and two other popular automated methods.

MRI of the Neonatal Brain

Part I: Principles of Imaging in the neonate Chapter 1 Producing an image Chapter 2 i) Hazards and safety issues in magnetic resonance studies ii) Patient preparation and sedation Chapter 3 Imaging

A nonparametric method for automatic correction of intensity nonuniformity in MRI data

TLDR
A novel approach to correcting for intensity nonuniformity in magnetic resonance (MR) data is described that achieves high performance without requiring a model of the tissue classes present, and is applied at an early stage in an automated data analysis, before a tissue model is available.

Quantitative growth and development of human brain

TLDR
The growth spurt period is much more postnatal than has formerly been supposed; the cerebellum has special growth characteristics; and there is a separate period from 10 to 18 weeks' gestation when adult neuronal cell number may largely be achieved.