Medical image registration is an important task in medical image processing. It refers to the
process of aligning data sets, possibly from different modalities (eg, magnetic resonance …

Introduction Multimodality image integration of functional and anatomical data can be
performed by means of dedicated hybrid imaging systems or by software image co …

We present a stochastic gradient descent optimisation method for image registration with
adaptive step size prediction. The method is based on the theoretical work by Plakhov and …

Efficiently obtaining a reliable coronary artery centerline from computed tomography
angiography data is relevant in clinical practice. Whereas numerous methods have been …

Maximization of mutual information (MMI) is a popular similarity measure for medical image
registration. Although its accuracy and robustness has been demonstrated for rigid body …

The aim of this study was to present a new approach to acquire a three-dimensional virtual
skull model appropriate for orthognathic surgery planning without the use of plaster dental …

One key issue that must be addressed during the development of image segmentation
algorithms is the accuracy of the results they produce. Algorithm developers require this so …

We address the problem of estimating the uncertainty of pixel based image registration
algorithms, given just the two images to be registered, for cases when no ground truth data …

Multi-modal image registration is a challenging problem in medical imaging. The goal is to
align anatomically identical structures; however, their appearance in images acquired with …

Object The authors examined the accuracy of anatomical targeting during electrode
implantation for deep brain stimulation in functional neurosurgical procedures. Special …