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

: Weir, P.; Reuter, D.; Ellerweg, R.; Alhonnoro, T.; Pollari, M.; Voglreiter, P.; Mariappan, P.; Flanagan, R.; Park, C.S.; Payne, S.; Staerk, E.; Voigt, P.; Moche, M.; Kolesnik, M.


Institute of Electrical and Electronics Engineers -IEEE-:
5th IEEE International Conference on E-Health and Bioengineering, EHB 2015 : Iasi, Romania 19-21 November 2015
Piscataway, NJ: IEEE, 2015
ISBN: 978-1-4673-7545-0 (electronic)
ISBN: 978-1-4673-7544-3 (print)
ISBN: 978-1-4673-7543-6 (CD-ROM)
ISBN: 978-1-4673-7546-7 (Print on demand)
E-Health and Bioengineering Conference (EHB) <5, 2015, Iasi>
Fraunhofer FIT ()

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.