DocumentCode
2124874
Title
3D modeling and parameterization of the left ventricle in echocardiographic images using deformable superquadrics
Author
Bosnjak, A. ; Burdin, V. ; Torrealba, V. ; Montilla, G. ; Solaiman, B. ; Roux, C.
Author_Institution
Ecole Nat. Superieure des Telecommun. de Bretagne, Brest, France
fYear
2001
fDate
2001
Firstpage
101
Lastpage
104
Abstract
This paper proposes a new method for the quantitative analysis of the mobility of the left ventricle LV, based on a 3D dynamic model. One superquadric is used as the 3D global model. For data acquisition, an electromechanical device that allows acquiring the volume of images using 60 cross-sections in a rotational cylindrical 3D symmetry is adapted to an echograph. The images are filtered and later, they are segmented by a specialist. This processing provides images where the internal and external structures are already known. Finally, the 3D superquadrics model is used and we minimize the energy of the quadratic error using the method of descending gradient for several variables. We capture the geometrical and mathematical parameters when the model is adjusted to actual data. After, it is necessary to compute the medical parameters as: LVV, LV mass, stroke volume, ejection fraction, and cardiac output, etc. We propose new measures allowing the observation of the variations of the parameters in function of time. For example, in the calculation of the LVV, the results give a small error of 2% by respect on a manual segmentation made by the specialist. That demonstrates a good adjustment to the 3D volume images to the LV
Keywords
echocardiography; medical image processing; 3D dynamic model; 3D global model; 3D superquadrics model; cardiac output; data acquisition; deformable superquadrics; ejection fraction; electromechanical device; left ventricle; medical parameters; quadratic error; rotational cylindrical 3D symmetry; stroke volume; Biomedical imaging; Cardiology; Cardiovascular diseases; Data mining; Deformable models; Heart; Image analysis; Image segmentation; Medical diagnostic imaging; Solid modeling;
fLanguage
English
Publisher
ieee
Conference_Titel
Computers in Cardiology 2001
Conference_Location
Rotterdam
ISSN
0276-6547
Print_ISBN
0-7803-7266-2
Type
conf
DOI
10.1109/CIC.2001.977601
Filename
977601
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