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J. Imaging 2015, 1(1), 193-219; doi:10.3390/jimaging1010193

FPGA-Based Portable Ultrasound Scanning System with Automatic Kidney Detection

1
Wireless Network Lab, Department of Electrical Engineering, Indian Institute of Technology Hyderabad, Hyderabad 502285, India
2
Department of Electrical Engineering, Indian Institute of Technology Bombay, Mumbai 400076, India
3
Asian Institute of Gastroenterology, Hyderabad 500082, India
*
Author to whom correspondence should be addressed.
Academic Editors: Philip Morrow and Gonzalo Pajares Martinsanz
Received: 24 September 2015 / Revised: 11 November 2015 / Accepted: 17 November 2015 / Published: 4 December 2015
(This article belongs to the Special Issue Image and Video Processing in Medicine)

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. View Full-Text
Keywords: portable ultrasound scanning; FPGA; organ detection; Viola–Jones portable ultrasound scanning; FPGA; organ detection; Viola–Jones
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Bharath, R.; Kumar, P.; Dusa, C.; Akkala, V.; Puli, S.; Ponduri, H.; Krishna, K.D.; Rajalakshmi, P.; Merchant, S.N.; Mateen, M.A.; Desai, U.B. FPGA-Based Portable Ultrasound Scanning System with Automatic Kidney Detection. J. Imaging 2015, 1, 193-219.

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