MODEL-DRIVEN PARAMETERIZATION OF FETAL CORTICAL SURFACES

Abstract : Surface-based analysis is a tool of choice to study the anatomy and function of the cortex in adult and children brains. Common surface registration approaches are not adaptable to fetal data since data-driven mapping techniques are limited by the lack of structural features across all ges-tational ages. In this work, we adapt the HIP-HOP model-driven cortical surface parameterization method to the spe-cific problem of defining correspondences across fetuses with different gestational ages. We demonstrate the validity of our approach by quantifying the curvature evolution during de-velopment. Our findings are highly consistent with previous studies. This work is the first demonstration of the feasibility of applying surface-based mapping and analysis to fetal data.
Keywords : surface brain mapping MRI
Complete list of metadatas

Cited literature [11 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-01114993
Contributor : Julien Lefèvre <>
Submitted on : Tuesday, February 10, 2015 - 1:34:10 PM
Last modification on : Tuesday, April 2, 2019 - 2:03:41 AM
Long-term archiving on : Thursday, May 28, 2015 - 8:21:20 AM

File

auzias_2015_final.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01114993, version 1

Citation

Guillaume Auzias, François de Guio, Antonietta Pepe, François Rousseau, Jean-François Mangin, et al.. MODEL-DRIVEN PARAMETERIZATION OF FETAL CORTICAL SURFACES. 2015. ⟨hal-01114993⟩

Share

Metrics

Record views

500

Files downloads

206