Multiecho dixon fat and water separation method for detecting fibrofatty infiltration in the myocardium.
Multiecho dixon fat and water separation method for detecting fibrofatty infiltration in the myocardium.
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DOI:
10.1002/mrm.21657
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发表时间:
2009-01
影响因子:
3.3
通讯作者:
Arai, Andrew E.
中科院分区:
文献类型:
--
作者:
Kellman, Peter;Hernando, Diego;Shah, Saurabh;Zuehlsdorff, Sven;Jerecic, Renate;Mancini, Christine;Liang, Zhi-Pei.;Arai, Andrew E.
关键词:
Conventional approaches for fat and water discrimination based on chemical shift fat suppression have reduced ability to characterize fatty infiltration due to poor contrast of microscopic fat. The multi-echo Dixon approach to water and fat separation has advantages over chemical-shift fat suppression: (1) water and fat images acquired in a single breath-hold, avoiding mis-registration, (2) fat has positive contrast, (3) compatible with pre-contrast and late enhancement imaging, (4) less susceptible to partial volume effects, (5) robust in the presence of background field variation, and (6) for the bandwidth implemented, chemical-shift artifact is decreased. The proposed technique was applied successfully in all 28 patients studied: 10 studies with indication of CAD of which 4 cases with chronic MI exhibited fatty infiltration; 13 studies to rule out arrhythmogenic right ventricular cardiomyopathy (ARVC) of which there were 3 cases with fibro-fatty infiltration, 2 confirmed with ARVC; 5 cases of cardiac masses (2 lipomas). Precontrast CNR of intramyocardial fat was greatly improved, 240% relative to conventional fat suppression. For the parameters implemented, the SNR was decreased by 30% relative to conventional late enhancement. The multi-echo Dixon method for fat and water separation provides a sensitive means of detecting intramyocardial fat with positive signal contrast.
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影响因子:
19.7
作者:
SZUMOWSKI, J;COSHOW, WR;QUINN, SF
通讯作者:
QUINN, SF
影响因子:
3.3
作者:
Reeder, SB;Faranesh, AZ;McVeigh, ER
通讯作者:
McVeigh, ER
影响因子:
3.3
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Hernando, D.;Haldar, J. P.;Liang, Z. -P.
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Liang, Z. -P.
影响因子:
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作者:
Pineda, AR;Reeder, SB;Pelc, NJ
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Pelc, NJ
影响因子:
1.9
作者:
Bluemke, DA;Krupinski, EA;Marcus, F
通讯作者:
Marcus, F