TI公司的手提超声系统DSP解决方案重量大约10磅或不到10磅,可以在没有电池的情况下工作. 手提超声系统广泛应用于ICU病房,急诊室, 麻醉和战场。手提超声系统采用DSP和SoC来处理电传感器(如照相机,变换器,麦克风等)所产品生的数字化电信号,一个诊断超声图像系统产生和发送超声波,捕捉反射波并转换成可视的图像.接收到的反射波的信号处理包内插,抽取,数据滤波和重建.可编程的DSP和SoC能实时实现这些复杂的数学运算.本文介绍了超声波系统方框图, 超声波系统的前端处理,中间处理和后端处理,以及由DM648 + DM6446组成的系统框图和由C6455 + OMAP3530组成的系统方框图.此外还介绍了相关处理器和应用处理的主要特性和方框图。
DSPs and SoCs are specially designed single-chip digital microcomputers that process digitized electrical signals generated by electronic sensors (e.g., cameras, transducers, microphones, etc.) that will help to revolutionize the area of diagnostic ultrasound imaging. A diagnostic ultrasound imaging system generates and transmits acoustic waves and captures reflections that are then transformed into visual images. The signal processing on the received acoustic waves include interpolation, decimation, data filtering and reconstruction. Programmable DSPs and SOCs, with architectures designed for implementing complex mathematical algorithms in real-time, can efficiently address all the processing needs of such a system.
TI Digital Signal Processor (DSP) for Portable Ultrasound
Portable ultrasound systems are considered to be ultrasound systems that weigh around 10 lbs or less, and can run on batteries. They began to appear in the market place in the late 90s and have seen a remarkable growth in sales in the recent years. This growth has been a direct result of their applicability in areas such as ICUs, emergency medicine, regional anesthesia and battlefield.
DSPs and SoCs are specially designed single-chip digital microcomputers that process digitized electrical signals generated by electronic sensors (e.g., cameras, transducers, microphones, etc.) that will help to revolutionize the area of diagnostic ultrasound imaging. A diagnostic ultrasound imaging system generates and transmits acoustic waves and captures reflections that are then transformed into visual images. The signal processing on the received acoustic waves include interpolation, decimation, data filtering and reconstruction. Programmable DSPs and SOCs, with architectures designed for implementing complex mathematical algorithms in real-time, can efficiently address all the processing needs of such a system.
