“3D Visualization in Medicine” by Fishman, Ney, Hanrahan and Meinzer

  • ©Elliott K. Fishman, Derek Ney, Patrick (Pat) Hanrahan, and Hans-Peter Meinzer



Entry Number: 34


    3D Visualization in Medicine

Course Organizer(s):



    Interest in medical imaging and familiarity with image processing techniques. Specific medical knowledge is not a prerequisite.

    Who Should Attend
    People interested in the application of computer graphics and image processing to medical data.

    Attendees gain an understanding of the techniques and clinical applications of 3D visualization in medicine. The course presents the state of the art in 3D medical visualization, including the algorithms used in the processes, and the directions of future research.

    Computer visualization of medical data is an important part of clinical medical imaging. The synergy between computer and physician allows for better patient core in such fields as orthopedic surgery and oncology. This course surveys the best techniques used to visualize 3D or n-dimensional medical data. It shows how physicians use visualization tools in actual clinical settings. The course covers rendering methods, including volumetric rendering, the Heidelberg ray-tracing model, segmentation or classification techniques, and future areas of research. It also covers applications in orthopedics, soft-tissue imaging, and multi-modality imaging.

Contents/Schedule PDF:

Contributed By:

    Mary Whitton


    Charles Babbage Institute Archives, University of Minnesota

Overview Page: