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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.

Fig.1 Simulated DWI image corresponding to a noise-free simulation randomly selected, the noisy image of SNR = 5~25 after adding Gaussian white noise, and the results after denoising

Fig.2 Parameter estimations of helix angle (HA) from the simulated, noisy and denoised (ANLM, LPCA, MPPCA) images.