Path planning for minimally-invasive knee surgery using a hybrid optimization procedure

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 meshe...

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Bibliographic Details
Published inComputer methods in biomechanics and biomedical engineering Vol. 21; no. 1; pp. 47 - 54
Main Authors Ciszkiewicz, Adam, Milewski, Grzegorz
Format Journal Article
LanguageEnglish
Published England Taylor & Francis 02.01.2018
Taylor & Francis Ltd
Subjects
Bones
Collision avoidance
collision detection
Computer graphics
Genetic algorithm
Knee
Nedler-Mead method
Optimization
Path planning
Product design
Surgery
collision detection
Genetic algorithm
Nedler-Mead method
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Summary: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.
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ISSN:1025-5842
1476-8259
DOI:10.1080/10255842.2017.1423289