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Motion correction of magnetic resonance imaging data by using adaptive moving least squares method

Title
Motion correction of magnetic resonance imaging data by using adaptive moving least squares method
Authors
NamH.LeeY.J.JeongB.ParkH.-J.YoonJ.
Ewha Authors
윤정호남혜원
SCOPUS Author ID
윤정호scopus
Issue Date
2015
Journal Title
Magnetic Resonance Imaging
ISSN
0730-725XJCR Link
Citation
vol. 33, no. 5, pp. 659 - 670
Keywords
3-D imageEdge-directed interpolationGradientsResampling
Publisher
Elsevier Inc.
Indexed
SCI; SCIE; SCOPUS WOS scopus
Abstract
Image artifacts caused by subject motion during the imaging sequence are one of the most common problems in magnetic resonance imaging (MRI) and often degrade the image quality. In this study, we develop a motion correction algorithm for the interleaved-MR acquisition. An advantage of the proposed method is that it does not require either additional equipment or redundant over-sampling. The general framework of this study is similar to that of Rohlfing et al. [1], except for the introduction of the following fundamental modification. The three-dimensional (3-D) scattered data approximation method is used to correct the artifacted data as a post-processing step. In order to obtain a better match to the local structures of the given image, we use the data-adapted moving least squares (MLS) method that can improve the performance of the classical method. Numerical results are provided to demonstrate the advantages of the proposed algorithm. © 2015 Elsevier Inc..
DOI
10.1016/j.mri.2015.02.003
Appears in Collections:
자연과학대학 > 수학전공 > Journal papers
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