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A Study of Graphics Processing Unit (GPU) in Medical Images


     

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Nowadays Graphics Processing Units (GPUs) are becoming a familiar platform to run applications. GPU has been continuously developed as a high performance accelerator platform for data parallel computing in many applications. GPUs are used in embedded systems, mobile phones, personal computers, workstations and game consoles. In this paper the effect of GPU is discussed in medical image processing domain especially in segmentation in MRI/CT, microscopy and in simulation. The advantages and disadvantages are discussed here.


Keywords

GPGPU, NVIDIA, CUDA, LSFM, Dof, WFC NPR, Segmentation, Simulation, OpenMP, MPI
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  • A Study of Graphics Processing Unit (GPU) in Medical Images

Abstract Views: 194  |  PDF Views: 2

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Abstract


Nowadays Graphics Processing Units (GPUs) are becoming a familiar platform to run applications. GPU has been continuously developed as a high performance accelerator platform for data parallel computing in many applications. GPUs are used in embedded systems, mobile phones, personal computers, workstations and game consoles. In this paper the effect of GPU is discussed in medical image processing domain especially in segmentation in MRI/CT, microscopy and in simulation. The advantages and disadvantages are discussed here.


Keywords


GPGPU, NVIDIA, CUDA, LSFM, Dof, WFC NPR, Segmentation, Simulation, OpenMP, MPI