Allan Evans is VP of marketing at Samplify Systems. Visit Samplify Systems at www.samplify.com .
Manufacturers are also very concerned by the impact that signal quality has on image resolution. Therefore, compression must be able to support a lossless mode, particularly for initial adoption by the market. However, it has recently been proven that if a compression algorithm can be controlled to maintain signal quality metrics, such as signal to noise, it can be clinically used without affecting diagnostic accuracy. This new development has a significant impact on reducing equipment costs while maintaining high levels of image quality.
A prime example of this type of algorithm is Prism. It is a low-complexity, real-time lossless and lossy compression algorithm that provides the flexibility, scalability, and cost advantages attractive for medical imaging systems. Prism's lossless mode delivers nearly a 3:1 compression on raw ultrasound echoes from the ADC. Also, the total data acquisition storage requirements are reduced by 75% for raw data, meaning the portable machine is able to perform four times as many scans before docking.