Go-Smart: Web-based Computational Modeling of Minimally Invasive Cancer Treatments

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 (Magneti...

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Bibliographic Details
Published in:arXiv.org 2015-11
Main Authors: Weir, Phil, Reuter, Dominic, Ellerweg, Roland, Alhonnoro, Tuomas, Pollari, Mika, Voglreiter, Philip, Mariappan, Panchatcharam, Flanagan, Ronan, Park, Chang Sub, Payne, Stephen, Staerk, Elmar, Voigt, Peter, Moche, Michael, Kolesnik, Marina
Format: Article
Language:English
Subjects:
Ablation
Cancer
Computed tomography
Computer simulation
Image segmentation
Lesions
Magnetic resonance imaging
Mathematical models
NMR
Nuclear magnetic resonance
Physical properties
Three dimensional models
Two dimensional models
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Summary: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.
ISSN:2331-8422
DOI:10.48550/arxiv.1511.03418