Abstract | ||
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Surgical aspirators are one of the most frequently used neurosurgical tools. Effective training on a neurosurgery simulator requires a visually and haptically realistic rendering of surgical aspiration. However, there is little published data on mechanical interaction between soft biological tissues and surgical aspirators. In this study an experimental setup for measuring tissue response is described and results on calf brain and a range of phantom materials are presented. Local graphical and haptic models are proposed. They are simple enough for real-time application, and closely match the observed tissue response. Tissue resection (cutting) with suction is simulated using a volume sculpting approach. A simulation of suction is presented as a demonstration of the effectiveness of the approach. |
Year | DOI | Venue |
---|---|---|
2009 | 10.1007/978-3-642-04268-3_7 | MICCAI |
Keywords | Field | DocType |
effective training,observed tissue response,computer model,tissue resection,surgical aspirators,calf brain,experimental setup,soft tissue interaction,surgical aspiration,soft biological tissue,surgical aspirator,haptic model,tissue response,soft tissue | Biomedical engineering,Computer science,Imaging phantom,Resection,Artificial intelligence,Suction,Surgery,Haptic technology,Computer vision,Surgical aspirators,Aspirator,Soft tissue,Rendering (computer graphics) | Conference |
Volume | Issue | ISSN |
12 | Pt 1 | 0302-9743 |
Citations | PageRank | References |
3 | 0.79 | 7 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Vincent Mora | 1 | 17 | 3.32 |
Di Jiang | 2 | 4 | 1.28 |
Rupert Brooks | 3 | 14 | 1.38 |
Sébastien Delorme | 4 | 54 | 11.03 |