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Titolo:
Automated registration of dynamic MR images for the quantification of myocardial perfusion
Autore:
Bidaut, LM; Vallee, JP;
Indirizzi:
Univ Hosp Geneva, Dept Radiol, CH-1211 Geneva 14, Switzerland Univ Hosp Geneva Geneva Switzerland 14 l, CH-1211 Geneva 14, Switzerland
Titolo Testata:
JOURNAL OF MAGNETIC RESONANCE IMAGING
fascicolo: 4, volume: 13, anno: 2001,
pagine: 648 - 655
SICI:
1053-1807(200104)13:4<648:ARODMI>2.0.ZU;2-8
Fonte:
ISI
Lingua:
ENG
Soggetto:
RESPIRATORY MOTION; RESOLUTION; SPECT; HEART; BRAIN; PET;
Keywords:
image registration; respiratory motion correction; cardiac perfusion assessment; dynamic MRI; gated MRI;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Clinical Medicine
Citazioni:
19
Recensione:
Indirizzi per estratti:
Indirizzo: Bidaut, LM Univ Hosp Geneva, Dept Radiol, 24 Rue Micheli Du Crest, CH-1211Geneva 14,Switzerland Univ Hosp Geneva 24 Rue Micheli Du Crest Geneva Switzerland 14
Citazione:
L.M. Bidaut e J.P. Vallee, "Automated registration of dynamic MR images for the quantification of myocardial perfusion", J MAGN R I, 13(4), 2001, pp. 648-655

Abstract

Cardiac dynamic magnetic resonance imaging (MRI) after contrast media injection suffers from motion induced by free breathing during acquisition. This work presents an automated approach for motion correction of the heart. The registration is based on the multipass/multiresolution iterative minimizing of intrinsic differences between each image and a reference image coupled to a two-dimensional/3 parameters rigid body correction. The efficiency of this correction method was evaluated with anatomical landmarks, various cost functions, and for a compartment model fit of the data with 2 parameters: K1, the blood to myocardium transfer coefficient; and Vd, the distribution volume of the contrast media. The variability of K1 and Vd, derived from the fit of the registered Images (using the manual correction as a gold standard), was significantly reduced by comparison with the variability obtained from the uncorrected Images (P < 0.04). This motion correction method also clearly improves the analysis of dynamic cardiac MRI after contrast media injection in comparison to manual correction. (C) 2001 Wiley-Liss, Inc.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 17/09/19 alle ore 19:10:01