Abstract
Bedsides diagnosis using portable ultrasound scanning (PUS) offering comfortable diagnosis with various clinical advantages, in general, ultrasound scanners suffer from a poor signal-to-noise ratio, and physicians who operate the device at point-of-care may not be adequately trained to perform high level diagnosis. Such scenarios can be eradicated by incorporating ambient intelligence in PUS. In this paper, we propose an architecture for a PUS system, whose abilities include automated kidney detection in real time. Automated kidney detection is performed by training the Viola–Jones algorithm with a good set of kidney data consisting of diversified shapes and sizes. It is observed that the kidney detection algorithm delivers very good performance in terms of detection accuracy. The proposed 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.
Highlights
Ultrasound scanning is a widely-used modality in healthcare, as it provides real-time, safer and noninvasive imaging of organs in the body, including heart, kidney, liver, fetus, etc
Portable ultrasound scanning machines are realized on field-programmable gate array (FPGA), digital signal processor (DSP) and media processors [2,3,4], and the automatic detection of kidneys in CT images based on random forest is proposed
Implementing the kidney detection algorithm on an FPGA platform will reduce the load on the ARM processor, which can be used for other tasks, like real-time recording, compression, data transferring, etc
Summary
Ultrasound scanning is a widely-used modality in healthcare, as it provides real-time, safer and noninvasive imaging of organs in the body, including heart, kidney, liver, fetus, etc. Commercially-available PUS with application-specific integrated circuit (ASIC) cannot be updated with new algorithms, while programmable ultrasound scanning machines provide the flexibility for rapid prototyping, updating and validating new algorithms [2] Computing platforms, such as field-programmable gate array (FPGA), digital signal processor (DSP) and media processors, have capabilities in terms of hardware to realize complex ultrasound signal processing algorithms in real time. We propose an FPGA-based standalone portable ultrasound scanning system with real-time kidney detection. Portable ultrasound scanning machines are realized on FPGAs, DSPs and media processors [2,3,4], and the automatic detection of kidneys in CT images based on random forest is proposed.
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