WIE Technical Seminar at Wayne State: Data-driven Ultrasound and Photoacoustic Imaging for Medical Decision Making

#WIE #biomedical #imaging #engineering #teleconference

Medical imaging has benefited tremendously from the recent surge in data-driven approaches to image formation and analysis. Ultrasound and photoacoustic imaging are two related medical imaging modalities that transmit sound and light, respectively, into the body and measure signals representing the acoustic response from tissue. Images are created from these acoustic signals through the beamforming process. In this talk, I will highlight three applications leveraging data-driven methods to improve medical decisions and expand the availability of advanced algorithms into the clinic including: (1) coherence-based beamforming and its impact on breast imaging, (2) the development of a deep neural network architecture, named CohereNet, to improve the speed and availability of coherence-based beamforming, and (3) a novel auditory photoacoustic-based surgical guidance system for hysterectomy procedures. Together these applications demonstrate an important future for data-driven methods in ultrasound and photoacoustic imaging. 

  Date and Time




  • Date: 12 Apr 2023
  • Time: 01:00 PM to 02:15 PM
  • All times are (UTC-04:00) Eastern Time (US & Canada)
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  • 5050 Anthony Wayne Dr.
  • DETROIT, Michigan
  • United States 48202
  • Building: College of Engineering

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  • Starts 05 April 2023 01:00 PM
  • Ends 12 April 2023 12:50 PM
  • All times are (UTC-04:00) Eastern Time (US & Canada)
  • No Admission Charge


Dr. Alycen Wiacek


Alycen Wiacek is an Assistant Professor in the Departments of Electrical and Computer Engineering and Bioengineering at Oakland University in Rochester, MI. Her research focuses on developing clinical tools in ultrasound and photoacoustic imaging for low resource environments, through innovations in signal processing and artificial intelligence. Dr. Wiacek is an alumna of Wayne State University where she received her BS in Electrical Engineering in 2014. She went on to earn her PhD from Johns Hopkins University in 2022 where she focused on using coherence information to improve breast ultrasound and guide surgical procedures. She has received several awards for her work including the American Institute of Ultrasound in Medicine (AIUM) New Investigator Award, the Siebel Scholar Award, and the Achievement Rewards for College Scientists (ARCS) Scholar Award.