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A real-time chirp-coded imaging system with tissue attenuation compensation.

A Ramalli1, F Guidi1, E Boni1

  • 1Department of Information Engineering, Università degli Studi di Firenze, Florence, Italy.

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|March 10, 2015
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Summary
This summary is machine-generated.

This study presents a real-time ultrasound system using coded-imaging for deeper penetration and better resolution. The novel, low-cost design achieves significant signal-to-noise ratio gains, improving ultrasound imaging capabilities.

Keywords:
Chirp signalReal-time pulse compressionUltrasound imagingUltrasound tissue attenuation real-time coded imaging

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Area of Science:

  • Medical Imaging
  • Biomedical Engineering
  • Signal Processing

Background:

  • Pulse compression in ultrasound imaging enhances penetration depth and axial resolution using long coded pulses and matched filtering.
  • Tissue attenuation and computational load have limited real-time implementation of these methods.
  • Existing methods often suffer from receiver filter mismatch due to frequency-dependent tissue attenuation.

Purpose of the Study:

  • To develop a real-time, low-computational-cost coded-imaging system for ultrasound.
  • To investigate the effects of tissue attenuation on pulse compression performance.
  • To improve signal-to-noise ratio (SNR) and penetration depth in ultrasound imaging.

Main Methods:

  • Implemented a real-time coded-imaging system on the ULA-OP research platform, extending firmware and software.
  • Utilized a single digital signal processor for pulse compression on beamformed and demodulated data.
  • Tested linear frequency modulated (FM) chirps and developed an attenuation compensation scheme by shifting demodulation frequency.

Main Results:

  • Achieved image line production in under 20 μs, enabling high frame rates (e.g., 200 fps for 192-line frames).
  • Demonstrated significant SNR gains (e.g., 13 dB with a chirp signal having Time-Bandwidth product (BT) of 19) in attenuating media.
  • Reported a 2.7 dB SNR increase using a novel attenuation compensation scheme, further enhancing penetration depth in phantom and in vivo tests.

Conclusions:

  • The developed system offers a practical, low-computational-cost solution for real-time ultrasound coded-imaging.
  • The study provides insights into optimizing receive compression filters for tissue attenuation.
  • The novel attenuation compensation scheme is simple, effective, and easily implementable, enhancing ultrasound imaging performance.