How the Versal ACAP silicon architecture and software tools provide better image quality, speed, and accuracy to assist in complicated diagnostic and surgical procedures using advanced imaging techniques in medical ultrasound.
Medical ultrasound is the most widely accepted and available form of diagnostic imaging today because of many significant advantages. It uses low-energy acoustic waves, and there are no known harmful side-effects on patients unlike potential ionizing radiation from X-rays or CT scans. Ultrasound can capture dynamic soft issue images, which X-rays cannot. Ultrasound systems are compact and transportable for easy mobility. In spite of significant advantages with ultrasonic technology, equipment makers have found it challenging to keep improving image quality and accuracy as desired by the market, mainly due to limited scalability of the current architecture.
This white paper demonstrates a perspective on how to achieve better image quality, speed, and accuracy using advanced imaging techniques on Xilinx technology. Plane wave and synthetic aperture imaging are the two approaches presented in this white paper, because they offer substantial frame rate improvement and accuracy for specific, hard-to-manage diagnostic and surgical procedures like cardiac wall motion, blood flow, and cardiac surgery.
The white paper also describes how deep learning algorithms can be used in conjunction for improvements stated above using Xilinx products. For the intended audience of this white paper, the architects and the scientists developing medical ultrasound imaging systems, the development productivity workflow on Xilinx technology will be addressed as well.
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