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This paper presents a real-time capable graphics processing unit (GPU)-based ultrasound simulator suitable for medical education. The main focus of the simulator is to synthesize realistic looking ultrasound images in real-time including artifacts, which are essential for the interpretation of this data. The simulation is based on a convolution-enhanced(More)
In our approach, we first specify a 3D model of the image structure by segmenting a CT dataset into the respective tissues followed by assigning the acoustic properties (velocity, impedance, scattering mean and standard deviation, damping factor and packing factor). Given that model, we simulate the ray propagation, beam forming, and finally the(More)
Particle tracking is a widespread research question for quantitative biology. In contrast to other approaches, we developed a local greedy technique based on the Kalman filter. To overcome the problem of guessing the first state of a particle, the algorithm runs iteratively in forward and backward direction. The algorithm was successfully tested with(More)
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