Path planning for minimally-invasive knee surgery using a hybrid optimization procedure.
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| Title: | Path planning for minimally-invasive knee surgery using a hybrid optimization procedure. |
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| Authors: | Ciszkiewicz, Adam1 (AUTHOR) acisz@poczta.fm, Milewski, Grzegorz1 (AUTHOR) |
| Source: | Computer Methods in Biomechanics & Biomedical Engineering. Jan2018, Vol. 21 Issue 1, p47-54. 8p. |
| Subjects: | Knee surgery, Minimally invasive procedures, Genetic algorithms, Collision detection (Computer animation), Knee, Mathematical models |
| 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. [ABSTRACT FROM PUBLISHER] |
| Copyright of Computer Methods in Biomechanics & Biomedical Engineering is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 127587083 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Path planning for minimally-invasive knee surgery using a hybrid optimization procedure. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ciszkiewicz%2C+Adam%22">Ciszkiewicz, Adam</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> acisz@poczta.fm</i><br /><searchLink fieldCode="AR" term="%22Milewski%2C+Grzegorz%22">Milewski, Grzegorz</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Computer+Methods+in+Biomechanics+%26+Biomedical+Engineering%22">Computer Methods in Biomechanics & Biomedical Engineering</searchLink>. Jan2018, Vol. 21 Issue 1, p47-54. 8p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Knee+surgery%22">Knee surgery</searchLink><br /><searchLink fieldCode="DE" term="%22Minimally+invasive+procedures%22">Minimally invasive procedures</searchLink><br /><searchLink fieldCode="DE" term="%22Genetic+algorithms%22">Genetic algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Collision+detection+%28Computer+animation%29%22">Collision detection (Computer animation)</searchLink><br /><searchLink fieldCode="DE" term="%22Knee%22">Knee</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+models%22">Mathematical models</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: 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. [ABSTRACT FROM PUBLISHER] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Computer Methods in Biomechanics & Biomedical Engineering is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/10255842.2017.1423289 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 8 StartPage: 47 Subjects: – SubjectFull: Knee surgery Type: general – SubjectFull: Minimally invasive procedures Type: general – SubjectFull: Genetic algorithms Type: general – SubjectFull: Collision detection (Computer animation) Type: general – SubjectFull: Knee Type: general – SubjectFull: Mathematical models Type: general Titles: – TitleFull: Path planning for minimally-invasive knee surgery using a hybrid optimization procedure. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ciszkiewicz, Adam – PersonEntity: Name: NameFull: Milewski, Grzegorz IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2018 Type: published Y: 2018 Identifiers: – Type: issn-print Value: 10255842 Numbering: – Type: volume Value: 21 – Type: issue Value: 1 Titles: – TitleFull: Computer Methods in Biomechanics & Biomedical Engineering Type: main |
| ResultId | 1 |
