Jérémie Anquez

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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 propose in this paper a(More)
The development of 3-D ultrasonic probes and 3-D ultrasound (3DUS) imaging offers new functionalities that call for specific image processing developments. In this paper, we propose an original method for the segmentation of the utero-fetal unit (UFU) from 3DUS volumes, acquired during the first trimester of gestation. UFU segmentation is required for a(More)
A statistical variational framework is proposed for the fetus and uterus segmentation in ultrasound images. The Rayleigh and exponential distributions are used to model the pixel intensity. An energy is derived to perform an optimal partition of the 3D data into two classes corresponding to these two distributions, in a Bayesian MAP framework. Some(More)
High quality obstetric images have become readily available with fast magnetic resonance imaging protocols or new 3D ultrasound probes. These obstetric images provide detailed information which can be used to create realistic models of the fetus at different stages of gestation. Unfortunately, the anatomy of the mother is only partially visible in the(More)
Anatomical models of pregnant women can be used in several applications such as numerical dosimetry to assess the potential effects of electromagnetic fields on biological tissues, or medical simulations for delivery planning. Recent advances in medical imaging have enabled the generation of realistic and detailed models of human beings. This paper(More)
Potential sanitary effects related to electromagnetic fields exposure raise public concerns, especially for fetuses during pregnancy. Human fetus exposure can only be assessed through simulated dosimetry studies, performed on anthropomorphic models of pregnant women. In this paper, we propose a new methodology to generate a set of detailed utero-fetal unit(More)
PURPOSE Numerical simulations studying the interactions between radiations and biological tissues require the use of three-dimensional models of the human anatomy at various ages and in various positions. Several detailed and flexible models exist for adults and children and have been extensively used for dosimetry. On the other hand, progress of simulation(More)
Recent improvements in MRI scanners have enabled the acquisition of spatially consistent 3D images of the fetus. While recent works focused on the fetal brain segmentation, important outcome could be obtained from the segmentation of the whole fetal body envelope, such as accurate fetal weight estimation. In this paper, we propose to segment this envelope(More)
In this paper, we propose a new method to segment the sub-cutaneous adipose tissue (SAT) in whole-body (WB) magnetic resonance images of children. The method is based on an automated learning of ra-diometric characteristics, which is adaptive for each individual case, a decomposition of the body according to its main parts, and a minimal surface approach.(More)
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