PARAMETER IDENTIFICATION OF DEPTH-DEPTH-MATCHING ALGORITHM FOR LIVER FOLLOWING
| Autor: | Shigeki Nankaku, Masanori Kon, Kaoru Watanabe, Kousuke Matsui, Masahiro Yagi, Masaki Kaibori, Katsuhiko Onishi, Kento Ota, Hiroshi Noborio, Masanao Koeda |
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| Rok vydání: | 2015 |
| Předmět: |
Matching (graph theory)
business.industry Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION General Engineering Graphics processing unit Evaluation function Translation (geometry) DICOM Polyhedron Computer vision Artificial intelligence business Rotation (mathematics) Blossom algorithm |
| Zdroj: | Jurnal Teknologi. 77 |
| ISSN: | 2180-3722 0127-9696 |
| DOI: | 10.11113/jt.v77.6224 |
| Popis: | We proposed a depth-depth-matching algorithm as a fast motion transcription algorithm from a real liver to a virtual liver in a surgical navigation. The real is always captured by 3D depth camera, and the virtual is represented by a polyhedron with STL format via DICOM captured by MRI/CT. In our algorithm, we firstly compare a 2D depth image in a real world and the Z-buffer in a virtual world, and secondly search 3 translation and 3 rotation movements by matching both depth images in order for a virtual liver to move against a real liver. In this paper, the performance of our algorithm is ascertained in a PC simulation by changing several parameters and/or the evaluation function. |
| Databáze: | OpenAIRE |
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