We present concepts for pre-operative planning of brain tumor resections. The proposed system uses a combination of traditional and novel visualization techniques rendered in real-time on modern GPUs in order to support neurosurgeons during intervention planning. A set of multimodal 2D and 3D renderings conveys the relation between the lesion and the various structures at risk and also depicts ...

The Algebraic Reconstruction Technique (ART) reconstructs a 2D or 3D object from its projections. It has, in certain scenarios, many advantages over the more popular Filtered Backprojection approaches and has also recently been shown to perform well for 3D cone-beam reconstruction. However, so far ART’s slow speed has prohibited its routine use in clinical applications. In this paper, we devise...

Electronic Institutions are regulated environments populated by autonomous software agents that perform tasks on behalf of users. 3D Electronic Institutions extend EI with 3D Virtual Worlds, which provide an inmersive user interface so that humans can observe their agents’ behaviors. In this manner, they represent a virtual analogy to real institutions. We propose to gain on realism on this ana...

In order to perform object modelling by using images processing procedures, line or feature extraction and stereo matching will be performed in general. However, there are some issues of efficient 3D modelling for historical structure. In particular, efficient line matching for reconstruction of objects is needed to be resolved. With this objective, this paper investigates a robust line matchin...

Traditional techniques for deforming virtual 3D models require the user to explicitly define a set of control points, a region of interest (ROI), and to define precisely how to deform the ROI using the control points. In this paper we present SEED, a sketch-based 3D model deformation approach, which allows the user to perform a deformation using only a single control stroke, eliminating the nee...

In this report, we present the implementation and final results of parallel programming on graphics processing units (GPUs) using NVIDIA’s parallel programming model which is known as the Compute Unified Device Architecture (CUDA) to perform the 3D finite-difference seismic forward modeling. The Tesla 10-series GPU (Tesla C1060) is used and results show that the massively parallel computational...

We perform 3D incompressible two-phase flow simulations of rising droplets. Based on a similar 2D benchmark, a 3D benchmark configuration with two test cases is formulated in which we compare the flow solvers DROPS, NaSt3DGPF and OpenFOAM. All codes adopt different numerical techniques. We define several quantities of interest and investigate their temporal evolution in both test cases. For mos...

This paper presents a global scheme for 3D face reconstruction and face segmentation into a limited number of analytical patches from stereo images. From a depth map, we generate a 3D model of the face which is iteratively deformed under stereo and shape-from-shading constraints as well as differential features. This model enables us to improve the quality of the depth map, from which we perfor...

today radiology and imaging are the only and main method to generate geometrical data from body. 3d model of the body will give us the best and reliable information for better understanding and diagnostic. on the other hand with development of cad/cam and rapid prototyping, the 3d printers were born to build 3d models without considering the geometry. today the 3d printers are able to makes a 3...

Qualitative spatial reasoning is an important function of the human brain. Artificial systems that can perform such reasoning have many applications such as Geographic Information Systems (GIS), robotics, biomedicine, and engineering. Automation of such analytical processes alleviates manual labor, and may increase the accuracy of the spatial assessments because the reasoning can be done object...