In adaptive radiotherapy, deformable image registration is often conducted between the planning CT and treatment CT (or cone beam CT) to generate a deformation vector field (DVF) for dose accumulation and contour propagation. The auto-propagated contours on the treatment CT may contain relatively large errors, especially in low-contrast regions. A clinician's inspection and editing of the propa...

INTRODUCTION Demons-Meigs' syndrome is characterized by the presence of a benign ovarian tumor associated with ascites and a right-sided hydrothorax. Its pathophysiology remains unclear. Anesthesia of this syndrome is a real challenge. Respiratory, hemodynamic, metabolic problems and abdominal hypertension are the main anesthetic risks. CASE PRESENTATION A 52-year-old African woman with Demon...

Statistical shape models learn valid variability from example shapes, making large training sets favorable. Methods for automatic training set generation use transforms obtained by registration to propagate atlas landmarks to new samples. Algorithms based on B-spline transforms and mutual information (MI) were successfully employed for the cardiac anatomy in CT and MRI. For single-modality data...

We adopted an approach based on interactions in a robotic workspace, coupled with Endsley’s model of Situation Awareness (SA), to identify factors that potentially degrade operators’ SA: the eight SA demons. propose here study implications these demons 45 industrial accidents involving robotic. These were associated possible human may have workspace. Our results showed five appeared accident re...

Analysing heart motion provides crucial insights on the condition of the cardiac function. Tagged-MRI and 2D-strain ultrasound enable quantitative assessment of the myocardium strain. But estimating 3D myocardium strain from cine-MRI remains attractive: cine-MRI is widely available and it yields detailed 3D+t anatomical images. This paper presents an image-based method to estimate myocardium st...

Much effort has gone into the understanding of regularization in ill-posed problems in computer vision. Yuille and Grzywacz were among the first to propose use of the Gaussian Tikhonov regularizer for image registration, illustrating the ideal properties of this regularizer for preserving motion coherence. Nielsen et al. later described the intricate connection between the Gaussian Tikhonov reg...

We propose to characterize deformable registration methods in a unified way, based on their parametrization. In contrast to traditional classifications, we do not apply this characterization only to standard “parametric” methods such as B-Spline Free-form deformations, but we explicitly include elastic and fluid-type “non-parametric” methods, such as the classic variational approach, and the fl...