Image Processing Methodology for Patient-Specific Instrument Design

dc.contributor.author Mohammad Sadeghi, Majid
dc.contributor.author Kececi, Emin Faruk
dc.date.accessioned 2025-09-25T10:48:40Z
dc.date.available 2025-09-25T10:48:40Z
dc.date.issued 2020
dc.description.abstract Background Patient-specific instrumentation (PSI) improves accuracy of surgical operations. PSI needs software for preoperative planning and instrument design. In this study, we explain the methodology of developing a software tool for PSI guide design and preoperative planning in reverse shoulder arthroplasty (RSA). Methods Approaches used to prepare input data, transform them into meaningful features and use of those features to create special guide geometries are explained by describing different algorithms and libraries. Results The developed software is tested on three different patients' data. Preoperative planning is performed and guides designed by software and the patients' bones are manufactured and tested for RSA. The method of building a software is presented to do the preoperative planning and designing specific guides for each patient are shown to be properly functional. Conclusions This study proves processes in the development of the PSI software and the design of a specific guide for RSA. en_US
dc.identifier.doi 10.1002/rcs.2159
dc.identifier.issn 1478-5951
dc.identifier.issn 1478-596X
dc.identifier.scopus 2-s2.0-85090788613
dc.identifier.uri https://doi.org/10.1002/rcs.2159
dc.identifier.uri https://hdl.handle.net/20.500.12573/3972
dc.language.iso en en_US
dc.publisher Wiley en_US
dc.relation.ispartof International Journal of Medical Robotics and Computer Assisted Surgery en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Medical Image Processing en_US
dc.subject Patient-Specific Instrumentation en_US
dc.subject Preoperative Planning en_US
dc.subject Shoulder Arthroplasty en_US
dc.subject Software Design en_US
dc.title Image Processing Methodology for Patient-Specific Instrument Design en_US
dc.type Article en_US
dspace.entity.type Publication
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gdc.author.scopusid 13003331800
gdc.bip.impulseclass C5
gdc.bip.influenceclass C5
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gdc.coar.access metadata only access
gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.department Abdullah Gül University en_US
gdc.description.departmenttemp [Mohammad Sadeghi, Majid] Istanbul Tech Univ, Dept Mechatron Engn, Istanbul, Turkey; [Kececi, Emin Faruk] Abdullah Gul Univ, Dept Mech Engn, Kayseri, Turkey en_US
gdc.description.endpage 11
gdc.description.issue 6 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q2
gdc.description.startpage 1
gdc.description.volume 16 en_US
gdc.description.woscitationindex Science Citation Index Expanded
gdc.description.wosquality Q2
gdc.identifier.openalex W3081841964
gdc.identifier.pmid 32869459
gdc.identifier.wos WOS:000568391300001
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gdc.index.type Scopus
gdc.index.type PubMed
gdc.oaire.diamondjournal false
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gdc.oaire.keywords Image Processing, Computer-Assisted
gdc.oaire.keywords Humans
gdc.oaire.keywords Software
gdc.oaire.popularity 2.1291993E-9
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gdc.oaire.sciencefields 03 medical and health sciences
gdc.oaire.sciencefields 0302 clinical medicine
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gdc.virtual.author Keçeci, Emin Faruk
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