“Modeling for Medical Applications” by Metaxas, Ayache, Duncan, Kikinis, Magnenat-Thalmann, et al. …

  • ©Dimitris Metaxas, Nicholas Ayache, James S. Duncan, Ron Kikinis, Nadia Magnenat-Thalmann, and Dennis Sessanna

Conference:


Entry Number: 20

Title:

    Modeling for Medical Applications

Course Organizer(s):



Presenter(s):



Abstract:


    Prerequisites
    Basic knowledge of calculus, linear algebra, physics and graphics. No knowledge of medicine required. 

    Topics
    Modeling of the heart, lungs, and breast from MRI. Segmentation and modeling methods for heart and brain. Modeling methods for internal organs, data registration, and virtual surgery. Visualization and registration methods for various types of surgery with strong emphasis on clinical applications. Integration of multisensory information for surgical simulation. Modeling skin, muscles, and joints for use in animation and medical applications. The future of modeling methods in medicine.

    Description
    The state of the art in interactive and real-time modeling techniques in a broad range of educational and clinical medical applications that require graphical representations of organ anatomy and physiology. Applications include modeling the shape and motion of the heart; brain data registration for surgery; abdominal, laparoscopic, and liver surgery; soft tissue modeling; registration methods for prostate cancer; blood flow simulation; modeling joints, skin, and muscles for animation; organ visualization and segmentation methods; and haptic interfaces. The course demonstrated all the necessary steps in modeling the geometry, kinematics, dynamics and tissue properties, texture, and physiology of internal organs, with the goal of improved computer-assisted diagnosis and surgical simulation.

     


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