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.
Original language | English |
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Title of host publication | 2015 E-Health and Bioengineering Conference, EHB 2015 |
Publisher | IEEE |
Number of pages | 4 |
ISBN (Electronic) | 9781467375450 |
DOIs | |
Publication status | Published - 25 Jan 2016 |
MoE publication type | A4 Conference publication |
Event | IEEE International Conference on E-Health and Bioengineering - Iasi, Romania Duration: 19 Nov 2015 → 21 Nov 2015 Conference number: 5 |
Conference
Conference | IEEE International Conference on E-Health and Bioengineering |
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Abbreviated title | EHB |
Country/Territory | Romania |
City | Iasi |
Period | 19/11/2015 → 21/11/2015 |
Keywords
- cancer
- image processing
- internet
- simulation