Automatic segmentation of head structures on fetal MRI

Authors:
Jérémie Anquez;Elsa D. Angelini;Isabelle Bloch
Affiliations:
Institut TELECOM, Télécom ParisTech, CNRS UMR, LTCI, Paris, France;Institut TELECOM, Télécom ParisTech, CNRS UMR, LTCI, Paris, France;Institut TELECOM, Télécom ParisTech, CNRS UMR, LTCI, Paris, France
Venue:
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Year:
2009

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Abstract

Recent improvements of fetal MRI acquisitions now allow three-dimensional segmentation of fetal structures, to extract biometrical measures for pregnancy follow-up. Automation of the segmentation process remains a difficult challenge, given the complexity of the fetal organs and their spatial organization. As a starting point, we propose in this paper a fully automated segmentation method to localize the eyes and segment the skull bone content (SBC). Priors, embedding contrast, morphological and biometrical information, are used to assist the segmentation process. A validation of the proposed segmentation method, on 24 MRI volumes of fetuses between 30 and 35 gestational weeks, demonstrated a high accuracy for eyes and SBC extraction.