Statistical shape models (SSMs) have by now been firmly established as a robust tool for
segmentation of medical images. While 2D models have been in use since the early 1990s …

The problem of respiratory motion has proved a serious obstacle in developing techniques
to acquire images or guide interventions in abdominal and thoracic organs. Motion models …

Image registration is an important enabling technology in medical image analysis. The
current emphasis is on development and validation of application-specific non-rigid …

Background Statistical shape models are widely used in biomedical research. They are
routinely implemented for automatic image segmentation or object identification in medical …

Image-guided interventions are medical procedures that use computer-based systems to
provide virtual image overlays to help the physician precisely visualize and target the …

A registration method for motion estimation in dynamic medical imaging data is proposed.
Registration is performed directly on the dynamic image, thus avoiding a bias towards a …

Introduction: With the global prevalence of coronavirus disease 2019 (COVID-19), an
increasing number of people are experiencing respiratory discomfort. Respiratory …

Abstract Computerized Image Registration approaches can offer automatic and accurate
image alignments without extensive user involvement and provide tools for visualizing …

The purpose of this study is to accurately estimate the difference between the planned and
the delivered dose due to respiratory motion and free breathing helical CT artefacts for lung …

Understanding and modeling liver biomechanics represents a significant challenge due to
its complex nature. In this paper, we tackle this issue in the context of real-time surgery …