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.STEPHEN JOHN PAYNE2022-05-242022-05-242016https://www.scopus.com/inward/record.uri?eid=2-s2.0-84978152354&doi=10.1109%2fEHB.2015.7391385&partnerID=40&md5=9f37dede262f46628530e2b3450f4ca8https://scholars.lib.ntu.edu.tw/handle/123456789/611766The 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. ? 2015 IEEE.AblationDiseasesImage processingImage segmentationInternetMagnetic resonance imagingPatient treatmentWebsitescancerComputational modelCT (computed tomography)Device performanceMRI (magnetic resonance imaging)Physical parametersSemi-automatic segmentationsimulationComputerized tomography[SDGs]SDG3conference paper10.1109/EHB.2015.73913852-s2.0-84978152354