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Titolo:
An efficient region of interest acquisition method for dynamic magnetic resonance imaging
Autore:
Hoge, WS; Miller, EL; Lev-Ari, H; Brooks, DH; Karl, WC; Panych, LP;
Indirizzi:
Northeastern Univ, Dept Elect & Comp Engn, Boston, MA 02215 USA Northeastern Univ Boston MA USA 02215 t & Comp Engn, Boston, MA 02215 USA Boston Univ, Elect Comp & Syst Engn Dept, Boston, MA 02215 USA Boston Univ Boston MA USA 02215 mp & Syst Engn Dept, Boston, MA 02215 USA Harvard Univ, Sch Med, Dept Radiol, Boston, MA 02115 USA Harvard Univ Boston MA USA 02115 h Med, Dept Radiol, Boston, MA 02115 USA Brigham & Womens Hosp, Boston, MA 02115 USA Brigham & Womens Hosp Boston MA USA 02115 mens Hosp, Boston, MA 02115 USA
Titolo Testata:
IEEE TRANSACTIONS ON IMAGE PROCESSING
fascicolo: 7, volume: 10, anno: 2001,
pagine: 1118 - 1128
SICI:
1057-7149(200107)10:7<1118:AEROIA>2.0.ZU;2-6
Fonte:
ISI
Lingua:
ENG
Soggetto:
SINGULAR-VALUE DECOMPOSITION; ADAPTIVE MRI; IMPLEMENTATION;
Keywords:
dynamic MRI; low-order MR image reconstruction; matrix completion; ROI; SVD;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
26
Recensione:
Indirizzi per estratti:
Indirizzo: Hoge, WS Northeastern Univ, Dept Elect & Comp Engn, Boston, MA 02215 USA Northeastern Univ Boston MA USA 02215 Engn, Boston, MA 02215 USA
Citazione:
W.S. Hoge et al., "An efficient region of interest acquisition method for dynamic magnetic resonance imaging", IEEE IM PR, 10(7), 2001, pp. 1118-1128

Abstract

Motivated by recent work in the area of dynamic magnetic resonance imaging(MRI), we develop a new approach toward the problem of reduced-order MRI acquisition. Recent efforts in this held have concentrated on the use of Fourier and singular value decomposition (SVD) methods to obtain low-order representations of an entire image plane. We augment this work to the case of imaging an arbitrarily-shaped region of interest (ROI) embedded within the full image, After developing a natural error metric for this problem, we show that determining the minimal order required to meet a prescribed error level is in general intractable, but can be solved under certain assumptions, We then develop an optimization approach to the related problem of minimizing the error for a given order, Finally, we demonstrate the utility of this approach and its advantages over existing Fourier and SVD methods on a number of MRI images.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 23/01/20 alle ore 04:12:02