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Titolo:
k-space weighted least-squares algorithm for accurate and fast motion extraction from magnetic resonance navigator echoes
Autore:
Nguyen, TD; Wang, Y; Watts, R; Mitchell, I;
Indirizzi:
Cornell Univ, Weill Med Coll, Dept Radiol, New York, NY 10021 USA Cornell Univ New York NY USA 10021 l, Dept Radiol, New York, NY 10021 USA
Titolo Testata:
MAGNETIC RESONANCE IN MEDICINE
fascicolo: 5, volume: 46, anno: 2001,
pagine: 1037 - 1040
SICI:
0740-3194(200111)46:5<1037:KWLAFA>2.0.ZU;2-Y
Fonte:
ISI
Lingua:
ENG
Keywords:
navigator; motion detection; least-squares algorithm; motion artifacts; k-space;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Clinical Medicine
Life Sciences
Citazioni:
12
Recensione:
Indirizzi per estratti:
Indirizzo: Wang, Y Cornell Univ, Weill Med Coll, Dept Radiol, 515 E 71st St,Suite S120, New York, NY 10021 USA Cornell Univ 515 E 71st St,Suite S120 New York NYUSA 10021 21 USA
Citazione:
T.D. Nguyen et al., "k-space weighted least-squares algorithm for accurate and fast motion extraction from magnetic resonance navigator echoes", MAGN RES M, 46(5), 2001, pp. 1037-1040

Abstract

Navigator echoes provide an effective method to monitor physiological motion, allowing motion artifacts to be suppressed by modifying the data acquisition accordingly. The displacement can be measured directly from the navigator phase using an algorithm suggested by Ahn and Cho. Although computationally efficient, it is susceptible to noise, particularly contributions from points at the edges of k-space. A k-space weighted least-squares (kLS) algorithm is proposed which fits a straight line to the motion-induced phase shift. The linear fit is weighted strongly to high SNR points near the k-space center and only weakly to the poor SNR points at the edges of k-space. This algorithm was found to be as efficient as Ahn's algorithm but more robust against noise. (C) 2001 Wiley-Liss, Inc.

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Documento generato il 23/01/20 alle ore 03:34:12