NDLI: Extrapolation and Correlation (EXTRACT): A New Method for Motion Compensation in MRI

Content Provider	IEEE Xplore Digital Library
Author	Wei Lin Wei Lin Hee Kwon Song
Copyright Year	1982
Abstract	A postprocessing technique is proposed for the correction of both translational and rotational motion artifacts in magnetic resonance imaging (MRI). The method consists of two steps: 1) k-space extrapolation to generate a motion-free reference, followed by 2) correlation with actual data to estimate motion. In this paper, two different extrapolation methods were investigated for the purpose of motion estimation: edge enhancement and finite-support solution. It was found that finite-support solution performs better near the k-space center, while the edge enhancement method is superior in the outer k-space regions. Therefore, a combination of the two methods was employed to generate a motion-free reference, whose correlations with the acquired data can subsequently determine the object motion. Motion compensation was demonstrated in simulation and in vivo MR experiments. The technique is shown to be robust against noise and various types of motion.
Sponsorship	IEEE Engineering in Medicine and Biology Society IEEE Nuclear and Plasma Sciences Society IEEE Signal Processing Society IEEE Ultrasonics, Ferroelectrics, and Frequency Control Society
Page Count	12
File Size	2330929
Starting Page	82
Ending Page	93
File Format	PDF
ISSN	02780062
Volume Number	28
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Extrapolation Motion compensation Magnetic resonance imaging Motion estimation In vivo Data mining Motion detection Navigation Radiology Image segmentation motion correction Correlation EXTRACT extrapolation magnetic resonance imaging (MRI) motion artifacts MRI correlation
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications Radiological and Ultrasound Technology Software

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