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Titolo:
K-space sampling strategies
Autore:
Hennig, J;
Indirizzi:
Univ Clin Freiburg, Dept Radiol, Sect Med Phys, D-79106 Freiburg, Germany Univ Clin Freiburg Freiburg Germany D-79106 s, D-79106 Freiburg, Germany
Titolo Testata:
EUROPEAN RADIOLOGY
fascicolo: 6, volume: 9, anno: 1999,
pagine: 1020 - 1031
SICI:
0938-7994(1999)9:6<1020:KSS>2.0.ZU;2-5
Fonte:
ISI
Lingua:
ENG
Soggetto:
MAGNETIC-RESONANCE; ECHO-PLANAR; MR; CONTRAST; RARE; NMR; BRAIN; IMAGE;
Keywords:
MR imaging; k-space; EPI; spiral imaging; image reconstruction;
Tipo documento:
Review
Natura:
Periodico
Settore Disciplinare:
Clinical Medicine
Citazioni:
28
Recensione:
Indirizzi per estratti:
Indirizzo: Hennig, J Univ Clin Freiburg, Dept Radiol, Sect Med Phys, Hugstetterstr 55, D-79106 Freiburg, Germany Univ Clin Freiburg Hugstetterstr 55 Freiburg Germany D-79106 ny
Citazione:
J. Hennig, "K-space sampling strategies", EUR RADIOL, 9(6), 1999, pp. 1020-1031

Abstract

The k-space algorithm offers a comprehensive way for classification and understanding of the imaging properties of all commonly used MR sequences. This presentation describes the basic concepts of k-space and its most relevant properties for MR imaging. The ramifications of k-space sampling is discussed for the most commonly used groups of MR sequences including gradient-echo techniques, echo-planar imaging, spin echo, and rapid acquisition relation enhanced imaging (e.g., turbo spin echo, fast Spin echo). In addition,the basic problems and properties of sequences based on non-rectilinear k-space sampling, such as spiral imaging, are discussed. Their artifact behavior is significantly different from rectilinear scans, which project all imperfections along the phase-encoding directions, whereas the artifact,produced by spirals are more complex and not always easily recognizable as such. An understanding of the k-space sampling offers important insight into thebasic properties of a given sequence regarding signal-to-noise ratio, image distortion, resolution and contrast. It is demonstrated that the ultimatelimitation in imaging speed is given by the loss of signal-to-noise ratio inherent to faster data sampling.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 06/04/20 alle ore 05:30:07