Title :
Efficient reconstruction of cardiac LV surfaces using a 3D sparse ASM
Author :
van Assen, H.C. ; Frangi, A.F. ; Danilouchkine, M.G. ; Ordás, S. ; Westenberg, J.J.M. ; Reiber, J.H.C. ; Lelieveldt, B.P.F.
Author_Institution :
Dep. Radiol., Leiden Univ. Medical Center
Abstract :
Cardiac magnetic resonance imaging (MRI) has demonstrated to be the most accurate and reproducible tool for assessment of the cardiovascular system. Traditional quantification methods require acquisition of densely sampled data sets, resulting in increased analysis time. This paper investigates whether comparable quantification accuracy can be achieved with a combination of sparsely sampled data and using an active shape model (ASM) of the left ventricle
Keywords :
biomedical MRI; cardiology; data acquisition; image recognition; medical image processing; 3D sparse ASM; active shape model; cardiac LV surface reconstruction; cardiac magnetic resonance imaging; cardiovascular system; data acquisition; left ventricle; Biomedical imaging; Cardiology; Fuzzy systems; Heart; Image analysis; Image reconstruction; Magnetic resonance imaging; Risk management; Shape; Surface reconstruction;
Conference_Titel :
Biomedical Imaging: Nano to Macro, 2006. 3rd IEEE International Symposium on
Conference_Location :
Arlington, VA
Print_ISBN :
0-7803-9576-X
DOI :
10.1109/ISBI.2006.1624866
