Han Tao, Qiu Weibao
School of Mechanical Engineering, Shaanxi Institute of Technology, Xi'an, 710300.
Paul C. Lauterbur Reseach Center for Biomeidcal Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055.
Zhongguo Yi Liao Qi Xie Za Zhi. 2022 Sep 30;46(5):485-489. doi: 10.3969/j.issn.1671-7104.2022.05.003.
In order to facilitate doctors to better obtain cardiovascular images by using intravascular ultrasound imaging system and make a more accurate diagnosis, a digital coordinate conversion method of intravascular ultrasound imaging system based on CORDIC algorithm is proposed, it converts polar coordinates into rectangular coordinates through angular rotation and orientation calculation. The experimental simulation test is carried out on the platform of intravascular ultrasound imaging system by FPGA. Experimental simulation shows that, CORDIC algorithm can effectively output sine and cosine values, compared with the traditional table finding method, this algorithm has faster speed, stronger real-time performance and needs less hardware resources. It is more suitable for intravascular ultrasound imaging system.
为了便于医生使用血管内超声成像系统更好地获取心血管图像并做出更准确的诊断，提出了一种基于CORDIC算法的血管内超声成像系统数字坐标转换方法，该方法通过角度旋转和方向计算将极坐标转换为直角坐标。利用FPGA在血管内超声成像系统平台上进行了实验仿真测试。实验仿真表明，CORDIC算法能够有效输出正弦和余弦值，与传统查表法相比，该算法速度更快、实时性更强且所需硬件资源更少。它更适合血管内超声成像系统。
