• DocumentCode
    3736350
  • Title

    Go-Smart: Web-based computational modeling of minimally invasive cancer treatments

  • Author

    Phil Weir;Dominic Reuter;Roland Ellerweg;Tuomas Alhonnoro;Mika Pollari;Philip Voglreiter;Panchatcharam Mariappan;Ronan Flanagan;Chang Sub Park;Stephen Payne;Elmar Staerk;Peter Voigt;Michael Moche;Marina Kolesnik

  • Author_Institution
    NUMA Engineering Services Ltd., Dundalk, Ireland
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The web-based Go-Smart environment is a scalable system that allows the prediction of minimally invasive cancer treatment. Interventional radiologists create a patient-specific 3D model by semi-automatic segmentation and registration of pre-interventional CT (Computed Tomography) and/or MRI (Magnetic Resonance Imaging) images in a 2D/3D browser environment. This model is used to compare patient-specific treatment plans and device performance via built-in simulation tools. Go-Smart includes evaluation techniques for comparing simulated treatment with real ablation lesions segmented from follow-up scans. The framework is highly extensible, allowing manufacturers and researchers to incorporate new ablation devices, mathematical models and physical parameters.
  • Keywords
    "Mathematical model","Numerical models","Image segmentation","Lesions","Three-dimensional displays","Computer architecture","Computational modeling"
  • Publisher
    ieee
  • Conference_Titel
    E-Health and Bioengineering Conference (EHB), 2015
  • Print_ISBN
    978-1-4673-7544-3
  • Type

    conf

  • DOI
    10.1109/EHB.2015.7391385
  • Filename
    7391385