Clinical research has shown a clear correlation between white matter disord
ers of the neonatal brain and neuromotoric handicap at a later age. Ultraso
und imaging is a proven method to detect the white matter damage at an earl
y stage. However, since subjective visual examination of the images by neon
atologists not always leads to an unambiguous diagnosis, a need for quantit
ative characterization is felt. Reproducibility is the first requirement in
order to be able to perform objective quantitative analysis. This paper pr
oposes a software-based method to compensate for variable acquisition facto
rs that negatively affect the reproducibility of the measurements. The resu
lts of some basic experiments will illustrate the usefulness of the develop
ed compensation algorithm. (C) 2000 Published by Elsevier Science Ltd. All
rights reserved.