BACKGROUND Stress calculations in atherosclerotic coronary vulnerable plaques can aid in predicting coronary cap rupture. In vivo plaque geometry and composition of coronary arteries can merely be obtained via intravascular imaging. Only optical driven imaging techniques have sufficient resolution to visualize the fibrous cap, but due to limited penetration depth deeper components such as the b...

Abstract This paper presents an image reconstruction method for reflective ultrasonic tomography. The variation of the time corresponding to first peak transmitter-receiver pairs is used in transmission Commonly, all reflected packets are reconstruction, but here we assume that inside object either changing or has a high absorption coefficient. Classical tomography methods based on equation whe...

A basic issue of mobile robotics is the automatic generation of environment maps. This paper presents novel results for the reconstruction of textured 3D maps with an autonomous mobile robot, a 3D laser range finder and two pan-tilt color cameras. Building 3D maps involves a number of fundamental scientific issues. This paper adresses the issue of how to fuse the geometry data of the 3D laser r...

In this paper we investigate the retrieval of geometrical information (especially, convexity and connectedness) of binary images from their projections which can be useful in binary tomography to facilitate the task of reconstruction. Supposing that the projections are the features of the images, we study how decision trees, neural networks, and nearest neighbor learning algorithms perform in c...

We study (stationary) Laplacian transport by the Dirichlet-to-Neumann formalism. Our results concerns a formal solution of the geometrical inverse problem for localisation and reconstruction of the form of absorbing domains. Here we restrict our analysis to the oneand two-dimension cases. We show that the last case can be studied by the conformal mapping technique. To illustrate it we scrutiniz...

Modelling and reconstruction of tubular objects from graph representations is frequently needed in medical visualization. The constructed geometrical models need to be consistent and compact at the same time for interactive applications. In this paper we present a new method for generating compact topologically consistent 2-manifold surfaces of branching tubular objects. The proposed two-stage ...

The general problem of 3D shape reconstruction from unorganized data sets can be described as follows: Given 3D range data or dense 3D scattered point sets sampled on or near an unknown object surface, reconstruct the topological and geometrical structures represented by the data points. The data points should be approximated by a set of smooth, connected surface patches such that the accuracy ...

In this work, we are concerned with the reconstruction of the obstacles by the enclosure method using the farfield measurements in one step. To justify this, first we state the indicator function of the enclosure method linking directly the farfield pattern to the reflected solutions corresponding to the used complex geometrical optics solutions. Second, we use layer potential techniques to der...

We report a reconstruction method, called a back-projection filtered (BPF) algorithm, for fan beam differential phase contrast computed tomography (DPC-CT) with equidistant geometrical configuration. This work comprises a numerical study of the algorithm and its experimental verification with a three-grating interferometer and an x-ray tube source. The numerical simulation and experimental resu...

A new class of prior models is proposed for Bayesian image analysis. This class of priors provides an inherent geometrical flexibility, which is achieved through a transformation of the coordinate system of the prior distribution or model into that of the object under analysis. Thus prior morphological information about the object being reconstructed may be adapted to various degrees to match t...