Implementation of parallel medical ultrasound imaging algorithm on CAPI-enabled FPGA

摘要

Medical ultrasound imaging is a typical clinical diagnostic method which has been widely applied to heart movement monitoring, fetal development status tracking, and liver interventional surgery, etc. Among various medical ultrasound imaging algorithms, delay-and-sum algorithm is the most common algorithm which can be found in almost every medical ultrasonic scanner. The execution of delay-and-sum beamforming algorithm is not time-consuming typically. However, when constructing a medical imaging cloud service, the computing speed of the delay-and-sum algorithm on the cloud server has to be much faster than the computing speed of the algorithm implementation on regular ultrasonic scanner processor, so as to overcome the cloud data transfer speed constraint on the real-time imaging requirement for medical ultrasound. As such, this paper demonstrated the implementation of the parallel delay-and-sum beamforming algorithm on the FPGA with coherent accelerator processor interface. Furthermore, the performance evaluation results were also demonstrated in the paper.