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AUTOMATIC SEGMENTATION OF HEAD STRUCTURES ON FETAL MRI Jrmie Anquez, Elsa D. Angelini, Isabelle Bloch
 

Summary: AUTOMATIC SEGMENTATION OF HEAD STRUCTURES ON FETAL MRI
Jérémie Anquez, Elsa D. Angelini, Isabelle Bloch
Institut TELECOM - Télécom ParisTech - CNRS UMR 5141 LTCI, Paris, France.
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 fe-
tal organs and their spatial organization. As a starting point, we pro-
pose in this paper a fully automated segmentation method to localize
the eyes and segment the skull bone content (SBC). Priors, embed-
ding contrast, morphological and biometrical information, are used
to assist the segmentation process. A validation of the proposed seg-
mentation method, on 24 MRI volumes of fetuses between 30 and 35
gestational weeks, demonstrated a high accuracy for eyes and SBC
extraction.
Index Terms-- Fetal imaging , MRI, eyes, skull, segmentation
1. INTRODUCTION
MRI constitutes a good adjunct to echography for pregnancy follow
up [1]. Higher image quality and shorter acquisition times have led

  

Source: Angelini, Elsa -Département Traitement du Signal et des Images, Telecom ParisTech

 

Collections: Engineering; Biology and Medicine