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2007
IEEE

Diffusion Tensor Image Smoothing Using Efficient and Effective Anisotropic Filtering

8 years 11 months ago
Diffusion Tensor Image Smoothing Using Efficient and Effective Anisotropic Filtering
To improve the accuracy of tissue structural and architectural characterization with diffusion tensor imaging, an anisotropic smoothing algorithm is presented for reducing noise in diffusion tensor images efficiently and effectively. The presented algorithm is based on previous anisotropic diffusion filtering, which is implemented with a straightforward but inefficient explicit numerical scheme. The main contribution of this paper is to improve the performance of the previous method considerably by using unconditionally stable and second order time accurate semi-implicit scheme. Our new method needs only few or even one iteration to achieve better smoothed images than what is generated by tens of iterations of the previous method, which makes it more attractive to practical use. Experiments with simulated and in vivo data have demonstrated the advantage of our new algorithm for denoising diffusion tensor images in terms of efficiency and effectiveness.
Qing Xu 0003, Adam W. Anderson, John C. Gore, Zhao
Added 03 Jun 2010
Updated 03 Jun 2010
Type Conference
Year 2007
Where ICCV
Authors Qing Xu 0003, Adam W. Anderson, John C. Gore, Zhaohua Ding
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