Portable ultrasound scanning (PUS) diagnosis with various clinical advantages. In general, ultrasound scanners have poor signal to noise ratio and physicians who operate the device may not be well trained to perform high level diagnosis. At such time we can use intelligence in PUS. PUS system, whose abilities include automated kidney detection in real time. To focus on detecting kidney in ultrasound images, which is different from segmentation of kidney that is extracting the exact contour of kidney. FPGA is chosen for implementing complete ultrasound signal processing due to its efficiency in handling high data rates. Automated kidney detection is performed by training the Viola–Jones algorithm with a good set of kidney data consisting of different shapes and sizes. It is observed that the kidney detection algorithm delivers very good performance in terms of detection accuracy. The PUS with kidney detection algorithm is implemented on a single Xilinx Kintex-7 FPGA, integrated with a Raspberry Pi ARM processor running at 900 MHz.
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