| Autor: |
Masanori Kon, Kousuke Matsui, Masanao Koeda, Shigeki Nankaku, Masahiro Yagi, Kaoru Watanabe, Atsuhiro Shintani, Masaki Kaibori, Hiroshi Noborio, Katsuhiko Onishi |
| Rok vydání: |
2015 |
| Předmět: |
|
| Zdroj: |
2015 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS). |
| DOI: |
10.1109/iciibms.2015.7439546 |
| Popis: |
In this paper, we revise a previous 2D depth-depth-matching algorithm in order to copy motions fast from a real liver to a virtual liver in a surgical navigation. The real liver is always captured by 3D depth camera, and the virtual liver 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 of STL in a virtual world, and by using the difference of two depth images, we secondly search the best movement of a virtual liver from a huge number of possibilities with 3 translation and 3 rotation degrees-of-freedom. In this paper, we firstly divide translation and rotation D.O.F, and individually select the most adequate 3 DOF sets of a virtual liver following its real liver. Based on the division, we can find a sequence of following motions more precise and faster than our previous 2D depth-depth-matching algorithms. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
|
