Meeting Banner
Abstract #2581

Robust estimation with suppressed image blurring for diffusion kurtosis imaging using selective spatial smoothing filter

Suguru Yokosawa 1 , Hisaaki Ochi 1 , Yoshitaka Bito 2 , Kenji Ito 3 , and Makoto Sasaki 3

1 Central Research Laboratory,Hitachi, Ltd., Kokubunji-shi, Tokyo, Japan, 2 MRI System Division, Hitachi Medical Corporation, Chiba, Japan, 3 Division of Ultrahigh Field MRI, Institute for Biomedical Science, Iwate Medical University, Iwate, Japan

In this work, we proposed a robust estimation method for DKI that reduces noise while suppressing image blurring. In our method, instead of being applied to all image data, a spatial smoothing filter is applied only to voxel dataset that contain outliers. These outliers are detected by deviation of calculated DKI coefficient from constrained condition. We demonstrated that the proposed method obtains a MK map with less blurring than constrained fitting with spatial smoothing and reduces pepper noises. The results confirm the effectiveness of our method applied in clinical DKI.

This abstract and the presentation materials are available to members only; a login is required.

Join Here