Optimized GPU framework for semi-implicit AOS scheme based speckle reducing nonlinear diffusion

Tian Cao; Bo Wang; Dong C. Liu

doi:10.1117/12.811443

27 March 2009 Optimized GPU framework for semi-implicit AOS scheme based speckle reducing nonlinear diffusion

Tian Cao, Bo Wang, Dong C. Liu

Proceedings Volume 7259, Medical Imaging 2009: Image Processing; 725922 (2009) https://doi.org/10.1117/12.811443
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States

Abstract

Ultrasound image quality is degraded because of the presence of speckle, which causes loss of image contrast resolution and makes the detection of small features difficult. The traditional nonlinear diffusion filtering of speckle reduction with explicit schemes can achieve desirable results, but they are only stable for very small time steps. Semi-implicit additive operator splitting (AOS) schemes for nonlinear diffusion are stable for all time size and more efficient than the traditional explicit schemes. However, the AOS schemes are still inefficient for real time speckle reducing of ultrasound images. Current graphics processing units (GPUs) offers an opportunity to boost the computation speed of AOS schemes through high computational power at low cost. In this paper, an optimized GPU framework for AOS schemes is presented. By using the well-established method of cyclic reduction of tridiagonal systems in our framework, we are able to implement the AOS schemes on GPU. Experiments from CPU implemented AOS schemes and our GPU based framework show that our method is about 10 times faster than the CPU implementation. Our presented framework deals with the local coherence anisotropic diffusion, but it can be generalized to the class of nonlinear diffusion methods which can be discretized by AOS schemes.

Citation Download Citation

Tian Cao, Bo Wang, and Dong C. Liu "Optimized GPU framework for semi-implicit AOS scheme based speckle reducing nonlinear diffusion", Proc. SPIE 7259, Medical Imaging 2009: Image Processing, 725922 (27 March 2009); https://doi.org/10.1117/12.811443

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