Background and objective Examination of head shape and brain during the fetal period is
paramount to evaluate head growth, predict neurodevelopment, and to diagnose fetal …

B-mode ultrasound imaging is used extensively in medicine. Hence, there is a need to have
efficient segmentation tools to aid in computer-aided diagnosis, image-guided interventions …

Fetal imaging is a burgeoning topic. New advancements in both magnetic resonance
imaging and (3D) ultrasound currently allow doctors to diagnose fetal structural …

Brain extraction (masking of extra-cerebral tissues) and alignment are fundamental first
steps of most neuroimage analysis pipelines. The lack of automated solutions for 3D …

The quantification of subcortical volume development from 3D fetal ultrasound can provide
important diagnostic information during pregnancy monitoring. However, manual …

Level set based methods are being increasingly used in image segmentation. In these
methods, various shape constraints can be incorporated into the energy functionals to obtain …

Recent advances in imaging technology have enabled us to obtain more detailed images of
the human fetus in a nondestructive and noninvasive manner. Through detailed images …

Though numerous segmentation algorithms have been proposed to segment brain tissue
from magnetic resonance (MR) images, few of them consider combining the tissue …

Segmentation and spatial alignment of ultrasound (US) imaging data acquired in the in first
trimester are crucial for monitoring human embryonic growth and development throughout …

Rationale and Objectives To investigate the usefulness of the statistical shape model (SSM)
for the quantification of liver shape to evaluate hepatic fibrosis. Materials and Methods …