人体心脏的4维图像建模和参数分析

研究一种基于4维医学图像的活动形状模型方法，用于构建人类心脏的3维柔性模型并进行自动化参数分析，以得到心脏各方位的量化功能指标。首先，通过造影技术获取心脏周期内各时刻的立体图像，根据时间序列形成一组4维图像。在大量医学图像的基础上，用统计方法分析得到心脏的一般形状，局部的变化范围和分布概率密度，为人类心脏建立一个数字化的计算模型。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。研究内容包括心脏模型的建立,心脏静态参数分析,心脏动态功能分析,疾病分析等，对病人心脏在特定时刻的每组图像生成其3维结构模型，为医生提供丰富有力的诊断和治疗依据。

Heart modeling and parametric analysis from four-dimensional images

This paper investigates automatic construction of a three-dimensional (3D) heart model from 4D medical images. It provides reliable functional analysis of human hearts for diagnosis and treatment for cardiovascular diseases. Firstly, a 4D image is constructed from a set of medical images that are obtained at a sequence of time points. Then, based on a statistical shape model trained from thousands of patient image sets, a geometrical and statistical heart model is generated. 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. Finally, functional evaluation of the cardiac ventricles can be followed by quantitative analysis of some important parameters, such as volumetric measurements, myocardial dynamics, and disease analysis. Experiments are carried out to demonstrate the proposed method. The study provides an important means of diagnosis and treatment for heart diseases.