Image registration in myocardial perfusion MRI

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn 7 VOLS, Issue , 2005, Pages 453-454

  Wong, K K ^a   Wu, E X ^b   Ng, M C ^b   Wu, Y ^b   Tse, H F ^b   Lau, C P ^b   Lo, G ^c   Yang, E S ^b  

^a HARVARD MEDICAL SCHOOL   (United States)

^b UNIVERSITY OF HONG KONG   (Hong Kong)

^c HONG KONG SANATORIUM AND HOSPITAL   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

BLOOD; CARDIOLOGY; DATA ACQUISITION; INFORMATION RETRIEVAL; PATIENT MONITORING; PHYSIOLOGICAL MODELS; ROBUSTNESS (CONTROL SYSTEMS);

IMAGE REGISTRATION; INFARCTED MYOCARDIUM; MYOCARDIAL PERFUSION; MYOCARDIUM;

MAGNETIC RESONANCE IMAGING;

EID: 33846907419     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/iembs.2005.1616444     Document Type: Conference Paper

References (6)

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2. CM. Gallippi, C.M. Kramer, Y.L. Hu, D.A. Vido, N. Reichek, W.J. Rogers. Fully automated registration and warping of contrast-enhanced first-pass perfusion images. J Cardiovasc Magn Reson, vol. 4, pp. 459-469, 2002.
3. T. Delzescaux, F. Frouin, A. de Cesare, S. Philipp-Foliquet, A. Todd-Pokropek, A. Herment, M. Janier. Using an adaptive semiautomated self-evaluated registration technique to analyze MRI data for myocardial perfusion assessment. J Magn Reson Imaging., vol. 18, pp. 681-90, Dec 2003.
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