TY - JOUR
T1 - A semi-automatic method for left ventricle volume estimate
T2 - An in vivo validation study
AU - Corsi, C.
AU - Lamberti, C.
AU - Sarti, A.
AU - Saracino, G.
AU - Shiota, T.
AU - Thomas, J. D.
PY - 2001
Y1 - 2001
N2 - This study aims to the validation of the left ventricular (LV) volume estimates obtained by processing volumetric data utilizing a segmentation model based on level set technique. The validation has been performed by comparing real-time volumetric echo data (RT3DE) and magnetic resonance (MRI) data. A validation protocol has been defined. The validation protocol was applied to twenty-four estimates (range 61-467ml) obtained from normal and pathologic subjects, which underwent both RT3DE and MRI. A statistical analysis was performed on each estimate and on clinical parameters as stroke volume (SV) and ejection fraction (EF). Assuming MRI estimates (x) as a reference, an excellent correlation was found with volume measured by utilizing the segmentation procedure (y) (y=0.89x+13.78, r=0.98). The mean error on SV was 8ml and the mean error on EF was 2%. This study demonstrated that the segmentation technique is reliably applicable on human hearts in clinical practice.
AB - This study aims to the validation of the left ventricular (LV) volume estimates obtained by processing volumetric data utilizing a segmentation model based on level set technique. The validation has been performed by comparing real-time volumetric echo data (RT3DE) and magnetic resonance (MRI) data. A validation protocol has been defined. The validation protocol was applied to twenty-four estimates (range 61-467ml) obtained from normal and pathologic subjects, which underwent both RT3DE and MRI. A statistical analysis was performed on each estimate and on clinical parameters as stroke volume (SV) and ejection fraction (EF). Assuming MRI estimates (x) as a reference, an excellent correlation was found with volume measured by utilizing the segmentation procedure (y) (y=0.89x+13.78, r=0.98). The mean error on SV was 8ml and the mean error on EF was 2%. This study demonstrated that the segmentation technique is reliably applicable on human hearts in clinical practice.
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U2 - 10.1109/CIC.2001.977603
DO - 10.1109/CIC.2001.977603
M3 - Article
C2 - 14672097
AN - SCOPUS:0035714686
SN - 0276-6574
SP - 109
EP - 112
JO - Computers in Cardiology
JF - Computers in Cardiology
ER -