• Publications
  • Influence
Ridge-based vessel segmentation in color images of the retina
A method is presented for automated segmentation of vessels in two-dimensional color images of the retina based on extraction of image ridges, which coincide approximately with vessel centerlines, which is compared with two recently published rule-based methods. Expand
Muliscale Vessel Enhancement Filtering
The multiscale second order local structure of an image (Hessian) is examined with the purpose of developing a vessel enhancement filter. A vesselness measure is obtained on the basis of allExpand
elastix: A Toolbox for Intensity-Based Medical Image Registration
The software consists of a collection of algorithms that are commonly used to solve medical image registration problems, and allows the user to quickly configure, test, and compare different registration methods for a specific application. Expand
Mutual-information-based registration of medical images: a survey
An overview is presented of the medical image processing literature on mutual-information-based registration, an introduction for those new to the field, an overview for those working in the field and a reference for those searching for literature on a specific application. Expand
Efficient and reliable schemes for nonlinear diffusion filtering
These novel schemes use an additive operator splitting (AOS), which guarantees equal treatment of all coordinate axes, can be implemented easily in arbitrary dimensions, have good rotational invariance and reveal a computational complexity and memory requirement which is linear in the number of pixels. Expand
A survey of medical image registration
A survey of recent publications concerning medical image registration techniques is presented, according to a model based on nine salient criteria, the main dichotomy of which is extrinsic versus intrinsic methods. Expand
Image registration by maximization of combined mutual information and gradient information
Results indicate that the combined measures yield a better registration function does mutual information or normalized mutual information per se, and the registration functions are less sensitive to low sampling resolution, do not contain incorrect global maxima that are sometimes found in the mutual information function, and interpolation-induced local minima can be reduced. Expand
Active shape model segmentation with optimal features
An active shape model segmentation scheme is presented that is steered by optimal local features, contrary to normalized first order derivative profiles, as in the original formulation, using a nonlinear kNN-classifier to find optimal displacements for landmarks. Expand
Label Fusion in Atlas-Based Segmentation Using a Selective and Iterative Method for Performance Level Estimation (SIMPLE)
This paper proposes a selective and iterative method for performance level estimation (SIMPLE), which combines both strategies in an iterative procedure and shows that the results of SIMPLE are significantly better than those of several existing methods, including the STAPLE method and variants of weighted majority voting. Expand
Comparison and evaluation of retrospective intermodality brain image registration techniques.
The results indicate that retrospective techniques have the potential to produce satisfactory results much of the time, but that visual inspection is necessary to guard against large errors. Expand