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...

Necessity of non-rigid body models for launch vehicles

In previous research, the necessity of non-rigid body simulators was stated to be a requirement for long, slender bodies. However, it remains unclear for which vehicle design parameters non-rigid body effects become destabilising. A set of 2+N linearly independent equations of motions can be combined in a single matrix to determine the motion of...

GPU-based stochastic-gradient optimization for non-rigid medical image registration in time-critical applications

Currently, non-rigid image registration algorithms are too computationally intensive to use in time-critical applications. Existing implementations that focus on speed typically address this by either parallelization on GPU-hardware, or by introducing methodically novel techniques into CPU-oriented algorithms. Stochastic gradient descent (SGD...

Finite element modeling of non-rigid origami: Parametric study on bistable origami using the finite element method

Origami has become a source of inspiration in engineering for structural design and the creation of mechanical metamaterials. In the often used analytic geometric and energy methods, it is difficult to incorporate deformation of the faces in non-rigid origami. However, deformation of the faces can play a significant role in their mechanical...

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)...

Modeling the brain morphology distribution in the general aging population

Both normal aging and neurodegenerative diseases such as Alzheimer's disease cause morphological changes of the brain. To better distinguish between normal and abnormal cases, it is necessary to model changes in brain morphology owing to normal aging. To this end, we developed a method for analyzing and visualizing these changes for the...