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
Central Research Laboratory,Hitachi, Ltd.,
Kokubunji-shi, Tokyo, Japan,
System Division, Hitachi Medical Corporation, Chiba,
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.