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GTC ON-DEMAND

Medical Imaging & Radiology
Presentation
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Looking at Ultrasound Processing on Low-Power GPUs
Abstract:
HPC-Lab at NTNU has been looking at processing medical imaging algorithms on GPUs since 2007, when one of my students did the wavelet transform in Cg on an early GeForce GTX card. With the introduction of the NVIDIA Tegra TK1, my graduate student Bjorn Tungesvik and I decided to benchmark the device and see how suitable it could be for real-time image processing. We'll show the impressive results we achieved for benchmarks, including Julia set fractals, vector multiplication, and N-body simulations. In collaboration with Professor Bjorn Angelsen's group, we'll also show how it is possible to create a filter based on the simulated Westervelt equation to achieve synthetic dynamic focusing by transversal filtering in real-time using an embedded GPU.
 
Topics:
Medical Imaging & Radiology, Intelligent Machines, IoT & Robotics, Signal and Audio Processing
Type:
Talk
Event:
GTC Silicon Valley
Year:
2016
Session ID:
S6299
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