用自动分割和动态三维重建实现右心室功能定量评价

Quantitative Functional Evaluation on Right Ventricle with Auto-segmentation and Three-dimensional Reconstruction

我们首先引入区域生长算法成功地实现了超声心脏图像的右心室轮廓分割。然后在采用旋转扫描插值算法重建右心室三维数据场的基础上,提出了一种基于逐行、逐层和逐体素的扫描算法,有效地计算了右心室的容积。最后,通过对一个心动周期内不同时刻的右心室容积计算,量化了右心室舒张末期容积(End-diastolic vol-ume,EDV)、收缩末期容积(End-systolic volume,ESV)和右心室射血分数(Right ventricular ejection fraction,RVEF)等右心室功能参数,并绘制了一个心动周期内右心室容积的变化曲线。通过与Tomtec医学图像工作站的处理结果的对比,证实了本方法的合理性和有效性。

The authors first segment the right ventricle regions from the echocardiographics by introdtucig a seeded region growth algorithm. Then they reconstrunct the three dimensional data field of right ventricle by using rotary scanning interpolation algorithm. And then, the authors propose a layer-by-layer, row-by-row, and voxel-by-voxel approach based on the interpolation results to estimate the volume of right ventricle. Finally, some right ventricle functional parameters such as EDV （End-diastolic volume）, ESV （End-systolic volume）, and RVEF （Right ventricular ejection fraction） are computed according to the volume results. The volume variation curves of several patients during a cardiac cycle have been successfully plotted out. The obtained results are compared with those from Tomtec medial image workstation. The comparison indicates the proposed approach is practical and meaningful.