부산대학교 도서관

In medical ultrasound, synthetic aperture (SA) imaging is well-considered as a novel image formation technique for achieving superior resolution than that offered by existing scanners. However, its intensive processing load is known to be a challenging factor. To address such a computational demand, this paper proposes a new parallel approach based on the design of OpenCL signal processing kernels that can compute SA image formation in real-time. We demonstrate how these kernels can be ported onto different classes of parallel processors, namely multi-core CPUs and GPUs, whose multi-thread computing resources are able to process more than 250 fps. Moreover, they have strong potential to support the development of more complex algorithms, thus increasing the depth range of the inspected human volume and the final image resolution observed by the medical practitioner.