Segmenting 2D+T ultrasound imaging data in fetus: improving the estimation of biomarkers of risky adaptations

Abstract: Approximately 10% of the pregnancies are complicated by growth restriction and 7% of pregnancies are complicated by gestational diabetes mellitus (GDM). In addition, the increasing rate of obesity will likely rise the proportion of pregnancies complicated by both Type 2 diabetes mellitus and GDM. Exposure to either dysglycaemia and poor nutrition may have a long-term impact on the developing child’s physiology, potentially programming for an increased risk of cardiovascular disease in later life… The full abstract is attached.

Bio: Enrico Grisan graduated in Electrical Engineering at the University of Padova in 2001, and he was then research consultant for the University of Padova and Nidek Technologies. In 2005 he earned the PhD in Bioengineering jointly from University of Padova and City University London. After being intern at Siemens Corporate Research in 2005, and then post-doc fellow in Padova from 2005 to 2008, he has been appointed (tenured) Assistant Professor in Bioengineering since 2008 His main research activities involve the automatic analysis of medical images and the discovery of clinical biomarkers from them. He has been working on retinal images for the quantification or retinopathy-related changes, on confocal endomicroscopy images for virtual histology, on multispectral MRI for quantifying cortical lesion burden, on perfusion patterns in contrast-enhanced ultrasound, and finally on prenatal ultrasound.