TY - GEN
T1 - Identifying different heart tissues from combined functional and viability MRI images
AU - Ibrahim, El Sayed H.
AU - Spooner, Amy
AU - Weiss, Robert G.
AU - Stuber, Matthias
AU - Kraitchman, Dara L.
AU - Osman, Nael F.
PY - 2006
Y1 - 2006
N2 - Assessment of myocardial viability in patients with Myocardial Infarction (MI) is important for therapeutic decision making. Magnetic resonance imaging (MRI) delayed-enhancement (DE) images provide accurate myocardial viability images. In addition, functional MRI provides important complementary information about the heart muscle status. From the combined viability and functional images, different tissue types of the heart could be identified using clustering techniques. However, seldom are these MRI images acquired at the same point in time to allow for automatic clustering. Composite Strain-Encoding (C-SENC) MRI is a modification of the standard SENC MRI, which enables acquiring both viability and functional images in the same cardiac phase. A multi-stage clustering technique was applied to the resulting C-SENC images of canine models with MI as well as to human volunteers and patients with MI. The results showed the applicability of the proposed technique for identifying different heart tissues: normal myocardium, infarction, and blood.
AB - Assessment of myocardial viability in patients with Myocardial Infarction (MI) is important for therapeutic decision making. Magnetic resonance imaging (MRI) delayed-enhancement (DE) images provide accurate myocardial viability images. In addition, functional MRI provides important complementary information about the heart muscle status. From the combined viability and functional images, different tissue types of the heart could be identified using clustering techniques. However, seldom are these MRI images acquired at the same point in time to allow for automatic clustering. Composite Strain-Encoding (C-SENC) MRI is a modification of the standard SENC MRI, which enables acquiring both viability and functional images in the same cardiac phase. A multi-stage clustering technique was applied to the resulting C-SENC images of canine models with MI as well as to human volunteers and patients with MI. The results showed the applicability of the proposed technique for identifying different heart tissues: normal myocardium, infarction, and blood.
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M3 - Conference contribution
AN - SCOPUS:33750942342
SN - 0780395778
SN - 9780780395770
T3 - 2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings
SP - 129
EP - 132
BT - 2006 3rd IEEE International Symposium on Biomedical Imaging
T2 - 2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro
Y2 - 6 April 2006 through 9 April 2006
ER -