Mario E. Guzmán Huerta

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Previous work has shown that the segmentation of anatomical structures on 3D ultrasound data sets provides an important tool for the assessment of the fetal health. In this work, we present an algorithm based on a 3D statistical shape model to segment the fetal cerebellum on 3D ultrasound volumes. This model is adjusted using an ad hoc objective function(More)
OBJECTIVE Fetal echocardiographic analysis is essential for detecting cardiac defects at early gestational ages. Fetal cardiac function can be assessed by performing some measurements regarding the dimension and shape of the heart cavities. In this work we propose an automatic segmentation method applied to the analysis of the left ventricle in fetal(More)
In this study we present the development of a 3D statistical shape model (Point Distribution Model PDM), for automatic segmentation, of the fetal cerebellum based on 3D US. This model is adjusted to a fetal 3D ultrasound, using an optimization algorithm which optimizes a model fitting function. A mean Dice Similarity Coefficient of 0.78 was obtained between(More)
BACKGROUND Congenital prenatal heart disease diagnosis is made by high definition ultrasound within 16 to 20 weeks of pregnancy, and each day more and more early. OBJECTIVE To describe fetal heart disease cases, to evaluate its confirmation thorough post-natal diagnosis and perinatal result, and to establish a diagnose management algorithm. MATERIAL AND(More)
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