Drechsler, Klaus ; Oyarzun Laura, Cristina ; Wesarg, Stefan (2012)
Interventional Planning of Liver Resections: An Overview.
34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Proceedings.
doi: 10.1109/EMBC.2012.6346781
Conference or Workshop Item, Bibliographie
Abstract
Liver cancer is the third most common type of cancer. Among available treatment options, a surgical resection offers the best prognosis for long-term survival. It is important that such a surgical procedure is carefully prepared. Modern computer technology offers convenient ways to simulate different resection scenarios and help to determine the best treatment for a given case. This paper provides a non-exhaustive overview of existing computer-based systems for interventional planning of liver resections. They are reviewed according to their medical use case, e.g. if they support typical or atypical resections.
| Item Type: | Conference or Workshop Item |
|---|---|
| Erschienen: | 2012 |
| Creators: | Drechsler, Klaus ; Oyarzun Laura, Cristina ; Wesarg, Stefan |
| Type of entry: | Bibliographie |
| Title: | Interventional Planning of Liver Resections: An Overview |
| Language: | English |
| Date: | 2012 |
| Publisher: | Printing House, Stoughton |
| Event Title: | 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Proceedings |
| DOI: | 10.1109/EMBC.2012.6346781 |
| Abstract: | Liver cancer is the third most common type of cancer. Among available treatment options, a surgical resection offers the best prognosis for long-term survival. It is important that such a surgical procedure is carefully prepared. Modern computer technology offers convenient ways to simulate different resection scenarios and help to determine the best treatment for a given case. This paper provides a non-exhaustive overview of existing computer-based systems for interventional planning of liver resections. They are reviewed according to their medical use case, e.g. if they support typical or atypical resections. |
| Uncontrolled Keywords: | Business Field: Visual decision support, Research Area: Confluence of graphics and vision, Medical applications, 3D Medical data, Medical imaging, Medical diagnosis, Medical image processing, Medical visualization |
| Divisions: | 20 Department of Computer Science 20 Department of Computer Science > Interactive Graphics Systems |
| Date Deposited: | 12 Nov 2018 11:16 |
| Last Modified: | 12 Nov 2018 11:16 |
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