• DocumentCode
    406362
  • Title

    PLACEBO: a computational platform for health professionals and bioengineers

  • Author

    Vartziotis, F. ; Fotiadis, D.I. ; Lagaris, I.E. ; Likas, A.

  • Author_Institution
    Dept. of Comput. Sci., Ioannina Univ., Greece
  • Volume
    2
  • fYear
    2003
  • fDate
    17-21 Sept. 2003
  • Firstpage
    1334
  • Abstract
    In this article, we present PLACEBO, an innovative software and hardware platform, which intends to solve biomedical problems formulated in terms of partial differential equations. It can be networked with various imaging devices, such as MRI and CT and can be used for pre-operative surgical planning. It employs an effective computational environment for solving partial differential equations, which is based on neural networks. This approach, in order to exploit the parallel character of the neural networks, is implemented partly in specialized hardware hosted on a commercial PC. There are two operation levels. A user-level, targeting health professionals that need to solve a set of predefined biomedical problems, and a bioengineering level, which allows the construction of problem sets. Since ease of use is of paramount importance for these kind of platforms, a friendly graphical user-interface is being developed.
  • Keywords
    biomedical engineering; decision making; graphical user interfaces; neural nets; partial differential equations; CT; MRI; PLACEBO; bioengineers; biomedical models; computational platform; graphical user-interface; hardware platform; health professional; neural networks; neuro-processors; partial differential equations; portable decision-making tools; surgical planning; Biomedical computing; Biomedical engineering; Biomedical imaging; Computed tomography; Computer networks; Magnetic resonance imaging; Neural network hardware; Neural networks; Partial differential equations; Surgery;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-7789-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2003.1279541
  • Filename
    1279541