3D Polygonal Models from CT Data for Medical Planning

نویسندگان

  • Felix G. Hamza-Lup
  • Dan Lipsa
چکیده

As radiation treatment/surgery becomes increasingly available at various medical centers around the world, it becomes also the preferred choice for tumors treatment. Planning is a crucial part of the process because it can detect collisions between various components of the hardware delivering the radiation and the patient. Simulated planning requires a 3D model of the patient. This paper reports on the design and implementation of an on-the-fly conversion system of the patient CT (Coherent Tomography) data into a 3D representation. This work is complementary to the goal of creating a real-time 3D graphical simulator for an advanced radiation therapy/surgery system that improves the planning process supporting the decision making process as well as innovation in medical planning.

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تاریخ انتشار 2006