Path planning for minimally-invasive knee surgery using a hybrid optimization procedure
Authors:
- Adam Ciszkiewicz,
- Grzegorz Milewski
Abstract
The aim of this study was to develop a procedure for medical tool path planning in minimally-invasive knee surgery. The collision-free paths for the tool were obtained using the control locations method with a hybrid optimization strategy. The tool and knee elements were described with surface meshes. The knee model allowed for bones displacement and variable incision size and location. The proposed procedure was proven to be effective in path planning for minimally-invasive surgery. It can serve as a valuable aid in surgery planning and may also be used in systems for autonomous or semi-autonomous knee surgery.
- Record ID
- CUT35b37cf96fb74cf290e4a96e29513b11
- Publication categories
- ;
- Author
- Journal series
- Computer Methods in Biomechanics and Biomedical Engineering, ISSN 1025-5842, e-ISSN 1476-8259
- Issue year
- 2018
- Vol
- 21
- No
- 1
- Pages
- 47-54
- Other elements of collation
- rys.; tab.; Bibliografia (na s.) - 54; Oznaczenie streszczenia - Abstr.; Data udostępnienia on-line - 2018-01-10; Numeracja w czasopiśmie - Vol. 21, Iss. 1
- Keywords in English
- genetic algorithm, Nedler Mead method, collision detection
- DOI
- DOI:10.1080/10255842.2017.1423289 Opening in a new tab
- URL
- http://www.tandfonline.com/doi/abs/10.1080/10255842.2017.1423289?journalCode=gcmb20 Opening in a new tab
- Language
- eng (en) English
- Score (nominal)
- 30
- Additional fields
- Indeksowana w: Web of Science, Scopus
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUT35b37cf96fb74cf290e4a96e29513b11/
- URN
urn:pkr-prod:CUT35b37cf96fb74cf290e4a96e29513b11
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.