Title :
Strain imaging and elasticity reconstruction of arteries based on intravascular ultrasound video images
Author :
Wan, Mingxi ; Li, Yangmei ; Li, Junbo ; Cui, Yaoyao ; Zhou, Xiaodong
Author_Institution :
Dept. of Biomed. Eng., Xi´´an Jiaotong Univ., China
Abstract :
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 IVUS imaging equipment.
Keywords :
biomechanics; biomedical ultrasonics; blood vessels; elasticity; genetic algorithms; image reconstruction; image sequences; medical image processing; motion estimation; strain measurement; video signal processing; IVUS imaging equipment; arteries; blood vessel biomechanics; displacement estimation; elasticity reconstruction; genetic algorithm-based optical flow method; intravascular ultrasound video images; medical diagnostic imaging; motion estimation method; percutaneous transluminal coronary angioplasty procedure; step-by-step & sum strategy; strain distribution; strain imaging; Arteries; Capacitive sensors; Elasticity; Genetics; Image motion analysis; Image reconstruction; In vitro; Motion estimation; Optical imaging; Ultrasonic imaging; Animals; Arteries; Carotid Arteries; Elasticity; Image Processing, Computer-Assisted; Pressure; Stress, Mechanical; Swine; Ultrasonography, Interventional; Video Recording;
Journal_Title :
Biomedical Engineering, IEEE Transactions on