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Jeffrey H. Siewerdsen, PhD

John C. Malone Professor
Jeff Siewerdsen
Research Focus Area(s): Biomedical Data Science, Imaging and Medical Devices
Research Interests: Medical imaging, image-guided surgery, surgical robotics, surgical navigation, radiation therapy, radiology, computed tomography (CT), cone-beam CT (CBCT), x-ray detectors, image quality, radiation dose, neural networks, machine learning, artificial intelligence, multi-modality imaging, image registration
Lab Website: The I-STAR Lab
Research Interests

Research Interests

My goals are to bring breakthroughs in engineering, physics, and computer science to major challenges of human health, and to educate the next generation of leaders in biomedical imaging. My research involves the creation and clinical translation of new medical imaging technologies, techniques, and algorithms. Areas of major interest include:


  • Physics of image quality
  • Mathematical models of imaging performance
  • Design and optimization of new 3D imaging systems
  • Computed tomography (CT) and cone-beam CT (CBCT)
  • 3D image reconstruction
  • Image registration
  • Image analytics
  • Application to diagnostic and image-guided procedures.
Examples of my work are evident in systems that are now standard of care in image-guided radiation therapy (CBCT on linear accelerators), image-guided surgery (CBCT on mobile C-arms), and orthopaedics imaging (CBCT for weight-bearing extremities) as well as underlying algorithms for image reconstruction and registration. Intrinsic to such work is close clinical collaboration with radiologists, surgeons, and radiation oncologists to accelerate translation of concepts to first clinical application.
Such work also underlies my approach to educating the next generation of leaders in biomedical imaging not only in cutting-edge technologies and computational methods but also a deep appreciation of real clinical challenges and workflow.
Titles & Affiliations


  • Vice-Chair for Clinical and Industry Collaboration
  • John C. Malone Professor, Biomedical Engineering
  • Professor, Computer Science
  • Professor, Neurosurgery
  • Professor, Radiology
  • Co-Director, Carnegie Center for Surgical Innovation
  • Associate faculty, Armstrong Institute for Patient Safety and Quality

Affiliated Centers & Institutes



  • PhD, Physics, University of Michigan, 1998
  • MS, Physics, University of Michigan, 1994
  • BA, Physics, Astronomy, University of Minnesota, 1992
Faculty News

Recent Highlights

  • July 10, 2020
    Engineers at Johns Hopkins have solved the problem of distorted imaging scans that plague surgeons who need to use them to assess the placement of metal implants.
  • January 10, 2020
    Find out how a new member of the clinical team in the operating room holds the potential to help revolutionize the standard of patient care.
  • June 17, 2019
    Johns Hopkins University announced 32 multidisciplinary endeavors that have been selected to receive support this year from the JHU Discovery Awards program. Seven faculty from the Department of Biomedical Engineering are part of those endeavors.


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