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In Proceedings of Modeling, Analysis, and Visualization of Anisotropy

Automatic Atlas-Based Segmentation of Brain White Matter in Neonates at Risk for Neurodevelopmental Disorders

Lucia Fonseca, C. van Pul, Nicolas Lori, R. van den Boom, P. Andriessen, J. Buijs, and Anna Vilanova

White Matter and Gray Matter in the Human Brain

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Very preterm infants, < 32 weeks gestation, are at high risk for brain injury.atlas-basedsegmentationneonatesneurodevelopmentCognitive deficits are often diagnosed at a later stage, since there are no available predictive biomarkers in the neonatal period. The maturation of specific white matter (WM) brain structures is considered a promising early-stage biomarker. With Diffusion Tensor Imaging (DTIDTI See diffusion tensor imagingdiffusion tensor imaging) tractographytractography, an in vivo and non-invasive evaluation of these anatomical structures is possible.

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Lucia Fonseca, C. van Pul, Nicolas Lori, R. van den Boom, P. Andriessen, J. Buijs, and Anna Vilanova, Automatic Atlas-Based Segmentation of Brain White Matter in Neonates at Risk for Neurodevelopmental Disorders, In Proceedings of Modeling, Analysis, and Visualization of Anisotropy, pp. 355–372, 2017.

BibTex 

@inproceedings{bib:fonseca:2017,
    author       = { Fonseca, Lucia and van Pul, C. and Lori, Nicolas and van den Boom, R. and Andriessen, P. and Buijs, J. and Vilanova, Anna },    
    title        = { Automatic Atlas-Based Segmentation of Brain White Matter in Neonates at Risk for Neurodevelopmental Disorders },
    booktitle    = { In Proceedings of Modeling, Analysis, and Visualization of Anisotropy },
    editors      = { Schultz, Thomas and Ozarslan, Evren and Hotz, Ingrid },
    year         = { 2017 },
    pages        = { 355--372 },
    publisher    = { Springer International Publishing },
    address      = { Cham },
    doi          = { 10.1007/978-3-319-61358-1_15 },
    url          = { https://publications.graphics.tudelft.nl/papers/356 },
}