Implementation of carotid artery ultrasound imaging algorithm based on multicore DSP

超声成像在医学影像诊断中有着广泛的应用,传统的医学超声成像设备体积大、功耗高,便携性及网络传输性都有一定的限制。对常用的超声成像原理及算法进行分析及仿真,在超声成像前端、中端、后端3个处理阶段中,重点介绍中端处理方法,并将常用的人体组织及血流信息超声成像算法移植到在TMS320C6472多核DSP上,实现了人体颈动脉样本数据的成像。Ultrasound imaging is widely used in the medical imaging diagnosis. The portability and network transport properties of the traditional medical ultrasound imaging equipment has limited due to its large size and high power consumption. The common ultrasound imaging principles and algorithms were analyzed and simulated. There are three stages:front-end,middleend and back-end in ultrasound imaging processing. This paper highlights the processing method at middle-end. The popular ultrasound imaging algorithm for human tissue and blood flow information was transplanted to the TMS320C6472 multicore DSP,by which the human carotid ultrasound imaging was realized.2014年厦门大学大学生创业创新训练计划专项经费支持(2014Y0598