• Duke Ultrasound Presents at IEEE IUS 2022!

    Congratulations to members of the Duke Ultrasound Group who presented their research at the IEEE International Ultrasonics Symposium in Venice, Italy.

    ARFI-based PCa detection, increased precision of 3D over 2D SWEI in skeletal muscle, and neural-networks to model shear-wave propagation are just a portion of topics covered over lectures and poster presentations by the Ultrasound Group!!

  • Congratulations to our newest PhD graduates!

    Congratulations to Dr. Cody Morris, Dr. Katelyn Flint, Dr. Anna Knight, and Dr. Bofeng Zhang shown here with their advisors, Dr. Kathryn Nightingale and Dr. Gregg Trahey after the Duke Graduate School PhD hooding ceremony at the Duke Chapel

  • Dr. Nightingale wins Joseph H. Holmes Basic Science Pioneer Award at AIUM

    Congratulations to Dr. Nightingale who won the Joseph H. Holmes Basic Science Pioneer Award at the annual meeting of the American Institute of Ultrasound in Medicine (AIUM).

  • Dr. Nightingale wins IEEE Carl Hellmuth Hertz Ultrasonics Award

    Dr. Nightingale won the Carl Hellmuth Hertz Ultrasonics Award, presented at IEEE IUS 2021.

    Read more about it here



  • Celebrating Spring 2021 Lab Graduates

    Thanks to vaccines we were able to hold an outdoor celebration of all our Spring 2021 Lab graduates: Cody Morris who completed his PhD, Katelyn Offerdahl and Yangpei Liu who finished their Master's degrees, and Becky Arbiv who finished undergrad! 


The goals of our laboratory are to investigate and improve ultrasonic imaging methods for clinically-relevant problems. We do this through theoretical, experimental, and simulation methods. The main focus of our work is the development of novel, acoustic radiation force impulse (ARFI)-based elasticity imaging methods to generate images of the mechanical properties of tissue, involving interdisciplinary research in ultrasonics and tissue biomechanics. We have access to the engineering interfaces of several commercial ultrasound systems which allows us to design, rapidly prototype, and experimentally demonstrate custom sequences to explore novel beamforming and imaging concepts.

We employ FEM modeling methods to simulate the behavior of tissues during mechanical excitation, and we have integrated these tools with ultrasonic imaging modeling tools to simulate the ARFI imaging process. We maintain strong collaborations with the Duke University Medical Center, where we work to translate our technologies to clinical practice, as well as with ultrasound manufacturers, with whom many of our graduate students perform industry internships. The ARFI imaging technologies we have developed have served as the basis for commercial imaging technologies that are now being used in clinics throughout the world. We are also leading an effort to investigate the benefits and challenges associated with ultrasonic imaging using elevated acoustic output, motivating the development of output limits based upon patient safety, rather than historical precedence.