NDLI: New Algorithm for Extracting Motion Information from PROPELLER Data and Head Motion Correction in T1-Weighted MRI

Content Provider	IEEE Xplore Digital Library
Author	Yanqiu Feng Wufan Chen
Copyright Year	2005
Description	Author affiliation: Dept. of Biomed. Eng., Southern Med. Univ., Guangzhou (Yanqiu Feng; Wufan Chen)
Abstract	PROPELLER (periodically rotated overlapping parallel lines with enhanced reconstruction) MRI, proposed by J. G. Pipe, offers a novel and effective means for compensating motion. For the reconstruction of PROPLLER data, algorithms to reliably and accurately extract inter-strip motion from data in central overlapped area are crucial to motion artifacts suppression. When implemented on T1-weighted MR data, the reconstruction algorithm, with motion estimated by registration based on maximizing correlation energy in frequency domain (CF), produces images with low quality due to the inaccurate estimation of motion. In this paper, a new algorithm is proposed for motion estimation based on the registration by maximizing mutual information in spatial domain (MIS). Furthermore, the optimization process is initialized by CF algorithm, so the algorithm is abbreviated as CF-MIS algorithm in this paper. With phantom and in vivo MR imaging, the CF-MIS algorithm was shown to be of higher accuracy in rotation estimation than CF algorithm. Consequently, the head motion in T1-weighted PROPELLER MRI was better corrected
Starting Page	1378
Ending Page	1381
File Size	757264
Page Count	4
File Format	PDF
ISBN	0780387414
DOI	10.1109/IEMBS.2005.1616685
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-01-17
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data mining Propellers Magnetic resonance imaging Motion estimation Head Image reconstruction Frequency estimation Reconstruction algorithms Frequency domain analysis Mutual information MRI motion correction PROPELLER mutual information correlation T1-weighted
Content Type	Text
Resource Type	Article

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