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Abstract #2636

The Comparison of denoising methods for cardiac diffusion tensor imaging

Xi Xu1, Yuxin Yang1, Yuanyuan Liu1, Dong Liang1, Hairong Zheng1, and Yanjie Zhu1
1Shenzhen Institute of Advanced Technology, ShenZhen, China

We evaluate three different image denoising methods in cardiac diffusion tensor imaging (CDTI) regarding image quality and accuracy of parameter estimates with simulation and ex-vivo experiments. The local principal component analysis (LPCA) performs the best in improving image quality both in simulated and ex-vivo data, and the uncertainty of parameter estimations is reduced by all three algorithms in the ex-vivo experiment.

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