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Ultrasonic Imaging System Design for Biomedical Applications

This report presents the design and development of a digital signal processing (DSP) engine for an ultrasonic imaging system used in biomedical applications. The achievements, requirements, and conclusion are discussed, along with the job of digital beam-formation engine design and hand-held ultrasonic system development. The necessary background knowledge and learning targets are outlined, emphasizing the opportunities for learning imaging algorithms, enhancing coding skills, and gaining experience in system development.

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Ultrasonic Imaging System Design for Biomedical Applications

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  1. 大學部專題報告DSP Engine Design for Ultrasonic Imaging System Presenter: Jay (丁致良) Adviser: Prof. Andy Wu Date: 2008/01/22

  2. Outline • Biomedical Imaging System • Ultrasonic System and DSP Engine • Learning Targets • Our Achievements • Requirements • Conclusion

  3. Biomedical Imaging System • Global market of biomedical Imaging is over 20 billion U.S.D in 2005, 1/4 in the ultrasound system • All major companies manufacture ultrasound system

  4. Ultrasonic Imaging • Non-invasive way for structure and velocity imaging. • High-frequency → high spatial resolution.

  5. 無線醫學超音波膠囊計畫 Ultrasound Endoscope Capsule • Small area, low power, high data-rate.

  6. What Is Our Job? high voltage amplifier digital transmit beamformer DAC T/R switch MUX array body system control beamformer control keyboard B, M, Doppler image processing digital receive beamformer variable gain ADC display Doppler processing All digital

  7. Our Job 1: Digital Beam-formation Engine Design

  8. Our Job 2:Hand-held Ultrasonic System Development • Using SoC developing board to implement a hand-held ultrasonic imaging system

  9. Our Achievements • Paper: • IEEE 2007 Workshop on Signal Processing Systems – “Reconfigurable Color Doppler DSP Engine for High-frequency Ultrasonic Imaging Systems”. • Awards: • 2007第七屆旺宏金矽獎 – 應用組銅獎 • 95學年度台大電子所最佳碩士論文獎(俞子豪)

  10. Needed Background • MATLAB and Verilog coding • Digital Signal Processing (DSP) concept • High Motivation Conclusion • Learning Imaging Algorithms • Enhancing your coding skills • Experiencing System Development

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