Go-Smart: Web-based Computational Modeling of Minimally Invasive Cancer Treatments
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
Cite
@article{arxiv.1511.03418,
title = {Go-Smart: Web-based Computational Modeling of Minimally Invasive Cancer Treatments},
author = {Phil Weir and Dominic Reuter and Roland Ellerweg and Tuomas Alhonnoro and Mika Pollari and Philip Voglreiter and Panchatcharam Mariappan and Ronan Flanagan and Chang Sub Park and Stephen Payne and Elmar Staerk and Peter Voigt and Michael Moche and Marina Kolesnik},
journal= {arXiv preprint arXiv:1511.03418},
year = {2016}
}
Comments
4 pages, 3 figures, submitted to the IEEE International Conference on e-Health and Bioengineering (EHB2015) [replaced to inc. IEEE copyright, as req. for arXiv by IEEE]