Feature preserving non-rigid iterative weighted closest point and semi-curvature registration

Preserving features of a surface as characteristic local shape properties captured e.g. by curvature, during non-rigid registration is always difficult where finding meaningful correspondences, assuring the robustness and the convergence of the algorithm while maintaining the quality of mesh are often challenges due to the high degrees of...

Shape model-based point set registration with local density weighting applied to the incomplete femur

Pre-operative planning aids clinicians by providing insight into patient-specific problems before surgery is performed. For treatment of femoroacetabular impingement (FAI), a range of motion (ROM) simulation is used, based on collision detection on segmented CT or MRI-data. Imaging data of the femur is often incomplete, due to the fact that...

Detection of Conversion from Mild Cognitive Impairment to Alzheimer’s Disease Using Longitudinal Brain MRI

Mild Cognitive Impairment (MCI) is an intermediate stage between healthy and Alzheimer’s disease (AD). To enable early intervention it is important to identify the MCI subjects that will convert to AD in an early stage. In this paper, we provide a new method to distinguish between MCI patients that either convert to Alzheimer’s Disease (MCIc)...