在此基础上，针对具体病人进行图像分割和形状拟合以计算其心脏静态和动态形状参数，然后分析得到与心脏功能相关的一些重要参数。
With this model, for a new case, an adaptive segmentation and fitting scheme is used to obtain its 3D flexible shape which is interpreted as the deformable surfaces of the patient heart.
为提高噪声环境下椭圆类物体形状检测算法的稳定性与准确性，本文提出非线性数据拟合模型结合交叉参考迭代的新思路。
To solve the problem of ellipse - object - shape parameters detection in noise image, a new detection algorithm using nonlinear data fitting model and cross-reference iterative method is proposed.
如此，既能与边界单元几何形状基本拟合，又能高精度地模拟裂纹尖端附近位移和应力变化规律，并提高计算效率。
So such, both shape consistent with boundary element geometrical shape, and simulate crack tip close-by variety law of stress and strain with higher precision, and enhancing calculative efficiency.
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