While several methodologies exist for quantifying gray and white matter properties in
humans, relatively little is known regarding the spatial organization and the intersubject …

Recently there has been an increasing trend to use deep learning frameworks for both 2D
consumer images and for 3D medical images. However, there has been little effort to use …

A fast and accurate fusion of intra-operative images with a pre-operative data is a key
component of computer-aided interventions which aim at improving the outcomes of the …

The traditional Hessian-related vessel filters often suffer from detecting complex structures
like bifurcations due to an over-simplified cylindrical model. To solve this problem, we …

We present an enhancement method based on nonlinear diffusion filter and statistical
intensity approaches for smoothing and extracting 3-D vascular system from Magnetic …

抄録< jats: p> In this paper we present a generalization of Frangi's vesselness measure for
the enhacement of M-dimensional shapes in N-dimensional images, together with the …

Liver vessel segmentation in CTA images is a challenging task, especially in the case of
noisy images. This paper investigates whether pre-filtering improves liver vessel …

Accurate pulmonary image registration is a challenging problem when the lungs have a
deformation with large distance. In this work, we present a nonrigid volumetric registration …

The motivation of this paper is the filtering of thin elongated objects, such as veins, fibres etc.
In particular, we focus our attention on detecting thin segments and linking them when …

In registration-based analyses of lung biomechanics and function, high quality registrations
are essential to obtain meaningful results. Various criteria have been suggested to find the …