Go-Smart: Web-based computational modeling of minimally invasive cancer treatments
Journal
2015 E-Health and Bioengineering Conference, EHB 2015
Date Issued
2016
Author(s)
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.
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. ? 2015 IEEE.
Subjects
Ablation
Diseases
Image processing
Image segmentation
Internet
Magnetic resonance imaging
Patient treatment
Websites
cancer
Computational model
CT (computed tomography)
Device performance
MRI (magnetic resonance imaging)
Physical parameters
Semi-automatic segmentation
simulation
Computerized tomography
SDGs
Type
conference paper