ABSTRACT
Adequate assessment of the severity of mitral regurgitation is fundamental to decisions on the timing and the patterns of surgical treatment.Nowadays,two-dimensional echocardiography continues to be the first choice of assessment,but it's considerable limitations preclude its being a real gold standard.With the newly emerging techniques,such as three-dimensional color Doppler ultrasonography,multi-detector CT and MRI,the parameters promoted may have the potential to overcome some of the pitfalls of the two-dimensional methods.Advances in imaging assessment of the severity of mitral regurgitation were reviewed in the article.
ABSTRACT
Objecthe Children's heart valves by Dual-Source Compater Tomography(DS CT)images were enhanced and segmented in order to reconstruct 3D construction of heart valves and make motion analysis based on this model.Method,Adaptive seed-filling algorithm is proposed in this paper to segment interested region of heart based on DS CT images.Contoudet transform is used to enhance and segment heart valve based on the part-segmented image.Result With these methods,DS CT images were SUCCESS fully pro-cessed and segmented in Matlab 7.0 and clear images of mitral valves were got.Condusions The adaptive seed-filling algorithm proposed in this paper and Contourlet transform are very useful for segmentation in dif-ferent situation.The experimental result in this paper proides useful reference for doctors in their research on the motion of mitral valves and planning on surrgical operation of mitTal valves.