In this paper, we present a method for extracting center axis representations of tubular shapes obtained from medical images. The method extracts centerlines by computing minimum-cost paths from a graph based optimization algorithm which minimizes responses obtained from multi-scale medialness filters. These filters are designed from the assumption that tubular structures, in general, has circu...

In this paper, we present a general framework for extracting 3D centerlines from volumetric datasets. Unlike the majority of previous approaches, we do not require a prior segmentation of the volume nor we do assume any particular tubular shape. Centerline extraction is performed using a morphology-guided level set model. Our approach consists of: i) learning the structural patterns of a tubula...

We present an algorithm for estimating the blood flow in angiographic image data. In corresponding projective digital subtraction X-ray angiography (2D-DSA) data sets we analyze the correlation between Concentration Time Curves (CTC) of pixels along the vessel centerline. The appropriate spatial information is recovered by applying a 2D-3D registration re-projecting the centerline pixels to the...

Minimal user interaction in coronary artery centerline extraction is important for computer aided system in Coronary Artery Disease detection. However, manual seeding leads to error propagation most of the time. In this paper, we propose a neighbourhood search feedback mechanism in centerline tracking to overcome this problem. Two contributions from this paper are: (1) Seed Point Optimization w...

We present a semi-automatic algorithm for Carotid lumen segmentation on CTA images. Our method is based on a variant of the minimal path method that models the vessel as a centerline and boundary. This is done by adding one dimension for the local radius around the centerline. The crucial step of our method is the definition of the local metrics to minimize. We have chosen to exploit the tubula...

The flow of a compressible fluid with slip through a cylinder with an asymmetric local constriction has been considered both numerically, as well as analytically. For the numerical work, a particle-based method whose dynamics is governed by the multiparticle collision (MPC) rule has been used together with a generalized boundary condition that allows for slip at the wall. Since it is well known...

A finite difference/front tracking method is used to study the motion of three-dimensional deformable drops suspended in plane Poiseuille flow at non-zero Reynolds numbers. A parallel version of the code was used to study the behavior of suspension on a reasonable grid resolution (grids). The viscosity and density of drops are assumed to be equal to that of the suspending medium. The effect of ...

Applying a minimum-cost path algorithm to find the path through the bottom of a curvilinear valley yields a biased path through the inside of a corner. DNA molecules, blood vessels, and neurite tracks are examples of string-like (network) structures, whose minimum-cost path is cutting through corners and is less flexible than the underlying centerline. Hence, the path is too short and its shape...