Left ventricular endocardial surface detection based on real-time 3D echocardiographic data.
OBJECTIVE
A new computerized semi-automatic method for left ventricular (LV) chamber segmentation is presented.


METHODS
The LV is imaged by real-time three-dimensional echocardiography (RT3DE). The surface detection model, based on level set techniques, is applied to RT3DE data for image analysis. The modified level set partial differential equation we use is solved by applying numerical methods for conservation laws. The initial conditions are manually established on some slices of the entire volume. The solution obtained for each slice is a contour line corresponding with the boundary between LV cavity and LV endocardium.


RESULTS
The mathematical model has been applied to sequences of frames of human hearts (volume range: 34-109 ml) imaged by 2D and reconstructed off-line and RT3DE data. Volume estimation obtained by this new semi-automatic method shows an excellent correlation with those obtained by manual tracing (r = 0.992). Dynamic change of LV volume during the cardiac cycle is also obtained.


CONCLUSIONS
The volume estimation method is accurate; edge based segmentation, image completion and volume reconstruction can be accomplished. The visualization technique also allows to navigate into the reconstructed volume and to display any section of the volume.
Corsi
C
C
D.E.I.S.-Viale Risorgimento 2, I-40136, Bologna, Italy.
Borsari
M
M
Consegnati
F
F
Sarti
A
A
Lamberti
C
C
Travaglini
A
A
Shiota
T
T
Thomas
J D
JD
D019560:Echocardiography, Three-Dimensional; D006352:Heart Ventricles / Q000000981:diagnostic imaging*; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008433:Mathematics; D016277:Ventricular Function, Left / Q000502:physiology*