Heart modeling and parametric analysis from four-dimensional images
人体心脏的4维图像建模和参数分析

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.