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

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

1 Citation (Scopus)


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.

Original languageEnglish
Title of host publication2015 E-Health and Bioengineering Conference, EHB 2015
Number of pages4
ISBN (Electronic)9781467375450
Publication statusPublished - 25 Jan 2016
MoE publication typeA4 Article in a conference publication
EventIEEE International Conference on E-Health and Bioengineering - Iasi, Romania
Duration: 19 Nov 201521 Nov 2015
Conference number: 5


ConferenceIEEE International Conference on E-Health and Bioengineering
Abbreviated titleEHB


  • cancer
  • image processing
  • internet
  • simulation


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