Wan M, Li Y, Li J, Cui Y, Zhou X
Department of Biomedical Engineering, Xi'an Jiaotong University, Xi'an, 710049, China.
IEEE Trans Biomed Eng. 2001 Jan;48(1):116-20. doi: 10.1109/10.900271.
Based on intravascular ultrasound (IVUS) video images, a novel motion estimation method combining the genetic algorithm-based optical flow method and a step-by-step and sum strategy has been developed to estimate the displacement and strain distributions on the scan cross sections of the arteries. And then, real elasticity distributions were reconstructed under the conditions of small and large deformation. Experimental results of in vitro porcine arteries demonstrated the feasibility of the method. This investigation may have potentials to provide new technological means for monitoring and evaluating percutaneous transluminal coronary angioplasty procedure, especially, for the end users of IVUSpercimaging equipment.
基于血管内超声（IVUS）视频图像，开发了一种结合基于遗传算法的光流法和逐步求和策略的新型运动估计方法，以估计动脉扫描横截面上的位移和应变分布。然后，在小变形和大变形条件下重建真实弹性分布。体外猪动脉的实验结果证明了该方法的可行性。本研究可能为监测和评估经皮腔内冠状动脉成形术提供新的技术手段，特别是为IVUSperc成像设备的最终用户提供新的技术手段。
