|
KMID : 1137820200410010028
|
|
의공학회지
2020 Volume.41 No. 1 p.28 ~ p.34
|
|
|
Motion Artifact Reduction Algorithm for Interleaved MRI using Fully Data Adaptive Moving Least Squares Approximation Algorithm
|
|
Nam Hae-Won
|
|
|
Abstract
|
|
|
|
In this paper, we introduce motion artifact reduction algorithm for interleaved MRI using an advanced 3D approximation algorithm. The motion artifact framework of this paper is data corrected by post-processing with a new 3-D approximation algorithm which uses data structure for each voxel. In this study, we simulate and evaluate our algorithm using Shepp-Logan phantom and T1-MRI template for both scattered dataset and uniform dataset. We generated motion artifact using random generated motion parameters for the interleaved MRI. In simulation, we use image coregistration by SPM12 (https://www.fil.ion.ucl.ac.uk/spm/) to estimate the motion parameters. The motion artifact correction is done with using full dataset with estimated motion parameters, as well as use only one half of the full data which is the case when the half volume is corrupted by severe movement. We evaluate using numerical metrics and visualize error images.
|
|
|
KEYWORD
|
|
|
3D approximation, Moving squared algorithm, Motion artifact, Interleaved MRI
|
|
|
FullTexts / Linksout information
|
|
|
|
|
|
Listed journal information
|
|
 
|