Ultrasound Mid-end Processing on Android Platform

Commercially-available, portable ultrasound devices are increasingly ubiquitous, but they all utilize ad-hoc processing and display hardware. This inevitably drives up the cost of these devices and usually results in poor user-interface. Many doctors now already carry this hardware around in their pocket on a smartphone, so why not use it to drive down medical device costs and provide a familiar user-interface? This thesis seeks implementation of midend algorithms to develop ultrasound imaging system. Firstly, midend system has been simulated on matlab and then later on android platform for smartphone, to replicate present ultrasound imaging. Later our algorithms related to demodulation, compression and image contrast enhancement are validated by porting them onto android. In order to realize an ultrasound imaging system, several engineering aspects need attention.The signal processing algorithms related to midend design of ultrasound system include envelope detection, compression techniques to t dynamic range and image enhancement techniques to obtain good quality image