title: Automatic segmentation of the cerebellum of fetuses on 3D ultrasound images, using a 3D Point Distribution Model.
abstract: Analysis of fetal biometric parameters on ultrasound images is widely performed and it is essential to estimate the gestational age, as well as the fetal growth pattern. The use of three dimensional ultrasound (3D US) is preferred over other tomographic modalities such as CT or MRI, due to its inherent safety and availability. However, the image quality of 3D US is not as good as MRI and therefore there is little work on the automatic segmentation of anatomic structures in 3D US of fetal brains. In this work we present preliminary results of the development of a 3D Point Distribution Model (PDM), for automatic segmentation, of the cerebellum in 3D US of the fetal brain. The model is adjusted to a fetal 3D ultrasound, using a genetic algorithm which optimizes a model fitting function. Preliminary results show that the approach reported is able to automatically segment the cerebellum in 3D ultrasounds of fetal brains.
authors.affiliation: Image Analysis and Visualization Lab, CCADET UNAM, México, D.F., Mexico. ingutbecker@gmail.com
authors.forename: Benjamin
authors.initials: B
authors.lastname: Gutierrez Becker
authors.forename: Fernando
authors.initials: F
authors.lastname: Arambula Cosio
authors.forename: Mario E
authors.initials: ME
authors.lastname: Guzman Huerta
authors.forename: Jesus Andres
authors.initials: JA
authors.lastname: Benavides-Serralde
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D002531:Cerebellum / Q000000981:diagnostic imaging* / Q000196:embryology*; D005260:Female; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008297:Male; D008954:Models, Biological; D015233:Models, Statistical; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D016216:Ultrasonography, Prenatal / Q000379:methods*