Name
Abstract | ||
|---|---|---|
Although careful planning of surgical approach is a key for success of surgery, conventional planning and simulation tools cannot support detailed discussion. This issue is derived from the difficulty of estimating complex physical behavior of soft tissues provided by a series of surgical procedures like cutting and deformation. This paper proposes an adaptive physics-based framework that simulates both interactive cutting and accurate deformation on virtual bodies, and performs preoperative planning for supporting strategic discussion. We focus on limited use of the two models: A particle-based model and an FEM-based model considering required quality and performance in different situations. FEM-based deformation of incision accurately produces estimated surgical fields. Based on the framework, a strategic planning system was developed for supporting decision of surgical approach using 3D representation of the surgical fields. We applied clinical CT dataset of an aortic aneurysm case to the system. Some experiments and usability tests confirmed that the system contributes to grasping 3D shape and location of the target organs and performs detailed discussion on patient-specific surgical approaches. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/s10916-006-9021-4 | J. Medical Systems |
Keywords | Field | DocType |
surgical field,physics-based simulation,surgical fields,conventional planning,strategic planning system,detailed discussion,preoperative strategic planning,surgical procedure,preoperative planning . surgical simulation . physics-based modeling,careful planning,surgical approach,fem-based deformation,preoperative planning,patient-specific surgical approach,strategic planning,usability testing,soft tissue | Data mining,Industrial engineering,Simulation,Usability,Finite element method,Strategic planning,Medicine,Physics | Journal |
Volume | Issue | ISSN |
30 | 5 | 0148-5598 |
Citations | PageRank | References |
5 | 0.54 | 14 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Megumi Nakao | 1 | 128 | 26.33 |
| Tomohiro Kuroda | 2 | 107 | 30.82 |
| Hiroshi Oyama | 3 | 46 | 5.87 |
| G Sakaguchi | 4 | 7 | 1.06 |
| Masashi Komeda | 5 | 11 | 4.08 |