Compact FPGA-based beamformer using oversampled 1-bit A/D converters

Tomov, Borislav Gueorguiev; Jensen, Jørgen Arendt

doi:10.1109/tuffc.2005.1503973

Cited by 38 publications

(19 citation statements)

References 16 publications

(14 reference statements)

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“…The most accurate way of obtaining the quadrature components was to pass the echo signal through a Hilbert transform [8], because it provides 90-degree phase shift at all frequencies [9]. The impulse response of the Hilbert filter with length N (odd number) is defined as in [10]: (3) .…”

Section: Hilbert Transform Filter Designmentioning

confidence: 99%

Synthetic Aperture Ultrasound Image Reconstruction

Hassan¹

2014

IJCA

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In this paper real data was used to test the utility of synthetic aperture (SA) ultrasound imaging to overcome the limitation of conventional ultrasound image which include decreasing the frame rate and single transmit focusing. The images are reconstructed by using different types of transmission and used to test the effect of signal to noise ratio (SNR). The results show that increasing the number of aperture elements improves the SNR. This means that overcoming the problem of low SNR can be achieved by replacing single element transmission by simultaneous excitation of multi-element subapertures. 24-tap FIR Hilbert transformed was designed with acceptable normalized RMSE with the analytical form of the signal. The images were reconstructed with and without the FIR Hilbert transform filter. Synthetic aperture imaging is shown to have potential for alleviating the problem of frame rate limitation and single transmit focusing. The results were compared to image reconstructed using linear array image reconstruction. On the other hand, it is also shown to have several problems associated with its practical implementation in terms of penetration depth, flow estimation, and implementation.

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Section: Hilbert Transform Filter Designmentioning

confidence: 99%

Synthetic Aperture Ultrasound Image Reconstruction

Hassan¹

2014

IJCA

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Section: B Hilbert Transform Filter Designmentioning

confidence: 99%

K3. Synthetic transmit aperture medical ultrasound imaging

Hassan

Kadah

2012

2012 29th National Radio Science Conference (NRSC)

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In this paper we use real data to test the utility of synthetic aperture (SA) ultrasound imaging to overcome the limitation of conventional ultrasound image which include decreasing the frame rate and single transmit focusing. The images are reconstructed by using different types of transmission and used to test the effect of signal to noise ratio (SNR). The results show that increasing the number of aperture elements improves the SNR. This means that overcoming the problem of low SNR can be achieved by replacing single element transmission by simultaneous excitation of multi-element sub-apertures. We designed 24-tap FIR Hilbert transformed with acceptable normalized RMSE with the analytical form of the signal. The images were reconstructed with and without the FIR Hilbert transform filter. Synthetic aperture imaging is shown to have potential for alleviating the problem of frame rate limitation and single transmit focusing. On the other hand, it is also shown to have several problems associated with its practical implementation in terms of penetration depth, flow estimation, and implementation.

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“…In [7], the authors demonstrated the feasibility of implementing the ultrasound signal processing on a high-end android mobile platform. Low complexity algorithms have been proposed for portable ultrasound machines, such that they can be easily implemented on computational platforms that have less computational capability [8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

FPGA-Based Portable Ultrasound Scanning System with Automatic Kidney Detection

et al. 2015

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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.

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Compact FPGA-based beamformer using oversampled 1-bit A/D converters

Cited by 38 publications

References 16 publications

Synthetic Aperture Ultrasound Image Reconstruction

Synthetic Aperture Ultrasound Image Reconstruction

K3. Synthetic transmit aperture medical ultrasound imaging

FPGA-Based Portable Ultrasound Scanning System with Automatic Kidney Detection

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