Author
Listed:
- João Fradinho Oliveira
(C3i/Instituto Politénico de Portalegre, Portalegre, Portugal)
- José Luis Moyano-Cuevas
(Bioengineering and Health Technology Unit, Jesús Usón Minimally Invasive Surgery Center, Cáceres, Spain)
- J. Blas Pagador
(Bioengineering and Health Technology Unit, Jesús Usón Minimally Invasive Surgery Center, Cáceres, Spain)
- Hugo Capote
(Hospital Dr. José Maria Grande, Portalegre, Portugal)
- Francisco Miguel Sánchez Margallo
(Jesús Usón Minimally Invasive Surgery Center, Cáceres, Spain)
Abstract
Different imaging modalities (MRI/CT) are used to analyse/plan complex surgical procedures in order to minimize risks and complications. Although there are numerous computer tools for preoperative assistance (VR/AR simulators, 3D printed implants), intraoperative systems are less common, specifically for soft tissue related interventions. For this reason, this paper is focused on 3D reconstruction. The proposed reconstruction combines a surface approach for organs and a block approach for vascular networks. Layered closed surface(s) represent an organ and stacks of extruded individual contour blocks represent the vascular networks. The authors use IGSTK to show that their approach improves shape and transparency results when compared with other modelling methods and to communicate with trackers. With their method polygon contour correspondence/branching between slices is implicit/automatic, saving time; they show that traditional tiling problems become visually negligible. The authors' novel file format allows polygons segmented by other tools to be reconstructed in their contour annotation tool which uses VTK.
Suggested Citation
João Fradinho Oliveira & José Luis Moyano-Cuevas & J. Blas Pagador & Hugo Capote & Francisco Miguel Sánchez Margallo, 2015.
"Preoperative and Intraoperative Spatial Reasoning Support with 3D Organ and Vascular Models: Derived from CT Data using VTK and IGSTK,"
International Journal of Creative Interfaces and Computer Graphics (IJCICG), IGI Global, vol. 6(2), pages 56-82, July.
Handle:
RePEc:igg:jcicg0:v:6:y:2015:i:2:p:56-82
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