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Titolo:
A computationally efficient method for tracking reference position displacements for motion compensation in magnetic resonance imaging
Autore:
Foo, TKF; King, KF;
Indirizzi:
GE Med Syst, Appl Sci Lab, Milwaukee, WI USA GE Med Syst Milwaukee WI USA E Med Syst, Appl Sci Lab, Milwaukee, WI USA
Titolo Testata:
MAGNETIC RESONANCE IN MEDICINE
fascicolo: 3, volume: 42, anno: 1999,
pagine: 548 - 553
SICI:
0740-3194(199909)42:3<548:ACEMFT>2.0.ZU;2-8
Fonte:
ISI
Lingua:
ENG
Soggetto:
MR CORONARY ANGIOGRAPHY; RETROSPECTIVE ESTIMATION; ARTIFACTS; REDUCTION;
Keywords:
pulse sequences; respiratory compensation; algorithms; cardiac gating; tracking motion; navigator; motion artifacts; coronary MR angiography;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Clinical Medicine
Life Sciences
Citazioni:
14
Recensione:
Indirizzi per estratti:
Indirizzo: Foo, TKF Johns Hopkins Hosp, GE Med Syst, Appl Sci Lab, Room 110 MRI,600 NWolfe St, Baltimore, MD 21287 USA Johns Hopkins Hosp Room 110 MRI,600 N Wolfe St Baltimore MD USA 21287
Citazione:
T.K.F. Foo e K.F. King, "A computationally efficient method for tracking reference position displacements for motion compensation in magnetic resonance imaging", MAGN RES M, 42(3), 1999, pp. 548-553

Abstract

A fast and computationally efficient method for detecting and tracking thedisplacement of a reference structure within the body using MR imaging is described. This method is used to determine the position of the diaphragm in order to synchronize the data acquisition to the same relative position of the abdominal and thoracic organs, thereby minimizing or eliminating respiratory motion artifacts. The method described uses the time domain linear phase shift of a reference structure to determine its spatial positional displacement as a function of the respiratory cycle. The signal from a two-dimensional rectangular excitation column is first Fourier-transformed to theimage domain, apodized, and then transformed back to the time domain. The relative displacement of a target edge in the image domain is determined from an autocorrelation of the resulting time domain information. This technique was found to require between three and eight times less computation than either cross-correlation or least-squares analysis, depending on the navigator parameters. (C) 1999 Wiley-Liss, Inc.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 10/04/20 alle ore 01:57:03