title: Quantitative analysis of the neonatal brain by ultrasound.
abstract: Clinical research has shown a clear correlation between white matter disorders of the neonatal brain and neuromotoric handicap at a later age. Ultrasound imaging is a proven method to detect the white matter damage at an early stage. However, since subjective visual examination of the images by neonatologists not always leads to an unambiguous diagnosis, a need for quantitative characterization is felt. Reproducibility is the first requirement in order to be able to perform objective quantitative analysis. This paper proposes a software-based method to compensate for variable acquisition factors that negatively affect the reproducibility of the measurements. The results of some basic experiments will illustrate the usefulness of the developed compensation algorithm.
authors.affiliation: Ghent University, Department for Telecommunication and Information Processing, Belgium. bjs@telin.rug.ac.be
authors.forename: B
authors.initials: B
authors.lastname: Simaeys
authors.forename: W
authors.initials: W
authors.lastname: Philips
authors.forename: I
authors.initials: I
authors.lastname: Lemahieu
authors.forename: P
authors.initials: P
authors.lastname: Govaert
mesh_terms: D000465:Algorithms; D001927:Brain Diseases / Q000000981:diagnostic imaging*; D004453:Echoencephalography / Q000295:instrumentation / Q000379:methods*; D006801:Humans; D007230:Infant, Low Birth Weight; D007231:Infant, Newborn; D015203:Reproducibility of Results