基于图像的主动脉弓运动和变形参数自动跟踪测量方法

提出一种基于动物实验序列图像的自动跟踪方法,测量主动脉弓在体运动和变形。在测量的初始帧,手动选取测量窗口,采用像素灰度值的梯度算法对图像测量窗口内的边界进行自动识别,得到主动脉弓的真实边界,进而调整测量窗口至最佳位置。在后续帧中,自动跟踪最佳测量窗口的位置,测量主动脉弓不同部位动脉直径和中心点位置随时间的变化。通过对四只兔子的实验测量,结果发现:主动脉弓具有一定锥度,在弓部直径最大,且主动脉弓在体运动和变形周期与心动周期之间存在较强的相关性。结论与生理现象或已有实验结果一致,表明基于图像的自动跟踪方法在测量主动脉弓运动与变形时不仅可行,而且可靠。

Automatic Tracking and Measurement of Movement and Deformation of Aortic Arch Based on Image

An automatic tracking approach based on image sequences of animal experiment is presented to measure the movement and deformation of aortic arch in vivo.For the first frame,the measurement window is selected manually and the boundary of aortic arch can be automatically recognized by using the gradient algorithm of pixel value to detect the edge within the window.Then the measurement window is adjusted to the most suitable position.For the following frames,the most suitable position of measurement window is automatically tracked and the diameter and the position of midpoint at different parts of the aortic arch are measured.The results of experiment and measurement of four rabbits show that the aortic arch tapers along itself and has the maximal diameter at the arch part.Its cycle of movement and deformation is strongly related to the cardiac cycle.The conclusions coincide well with the physiological situation and the obtained experimental results.It is proved that the presented approach is practical and the measurement data is accurate.