Cylindrical Echocardiographic Image Segmentation Based on D Deformable Models
نویسنده
چکیده
This paper presents a D echocardiographic image segmen tation procedure based on deformable surfaces We rst propose to adapt ltering techniques to the cylindrical geometry of several D ultrasound image devices Then we compare the e ect of di erent external forces on a surface template deformation inside volumetric echocardiographic images An original method involving region grey level analysis along the model normal directions is described We rely on an a priori knowl edge of the cardiac left ventricle shape and on region grey level values to perform a robust segmentation During the deformation process the allowable surface deformation is modi ed Finally we show experimen tal results on very challenging sparse and noisy images and quantitative measurements of the left ventricle volume
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