Identifying glenoid geometries through radial basis functions for implant design

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Total Shoulder Arthroplasty is performed on patients to restore range of motion of the shoulder and decrease pain caused by osteoarthritis at the glenohumeral joint. The glenohumeral joint is a slightly unstable ball and socket joint, where muscles hold the humerus in contact with the glenoid, located on the scapula. Improper sizing or alignment of the implant can cause the surgery to fail to restore mobility to the shoulder or only restore mobility for a limited time. Additionally, placement of the glenoid implant on the scapula is complicated by the limited view available during surgery and the deformation of the glenoid caused by osteoarthritis. Implant designs must take into account the large amount of variability present in both intact and osteoarthritic joints. The purpose of this research is to provide a morphable glenoid representation for the scapula to assist with preoperative planning and implant design. CT scans of healthy and osteoarthritic glenoids were provided by Hershey Medical Center for this study. Principal component analysis and radial basis functions are used to represent a range of potential glenoid geometries, both with and without osteoarthritis. This parametric model can be used to guide the design and sizing of implants. This approach should be extensible to the modeling of other bony surfaces, which can improve both implant design and surgical procedure.

Original languageEnglish (US)
Title of host publication40th Design Automation Conference
PublisherAmerican Society of Mechanical Engineers (ASME)
ISBN (Electronic)9780791846322
DOIs
StatePublished - Jan 1 2014
EventASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2014 - Buffalo, United States
Duration: Aug 17 2014Aug 20 2014

Publication series

NameProceedings of the ASME Design Engineering Technical Conference
Volume2B

Other

OtherASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2014
CountryUnited States
CityBuffalo
Period8/17/148/20/14

Fingerprint

Implant
Radial Functions
Basis Functions
Osteoarthritis
Geometry
Surgery
Arthroplasty
Computerized tomography
Principal component analysis
Muscle
Pain
Parametric Model
Planning
Range of data
Principal Component Analysis
Placement
Design
Alignment
Ball
Unstable

All Science Journal Classification (ASJC) codes

  • Modeling and Simulation
  • Mechanical Engineering
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design

Cite this

De Vries, C. M., & Parkinson, M. B. (2014). Identifying glenoid geometries through radial basis functions for implant design. In 40th Design Automation Conference (Proceedings of the ASME Design Engineering Technical Conference; Vol. 2B). American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/DETC201435478
De Vries, Charlotte Marr ; Parkinson, Matthew B. / Identifying glenoid geometries through radial basis functions for implant design. 40th Design Automation Conference. American Society of Mechanical Engineers (ASME), 2014. (Proceedings of the ASME Design Engineering Technical Conference).
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abstract = "Total Shoulder Arthroplasty is performed on patients to restore range of motion of the shoulder and decrease pain caused by osteoarthritis at the glenohumeral joint. The glenohumeral joint is a slightly unstable ball and socket joint, where muscles hold the humerus in contact with the glenoid, located on the scapula. Improper sizing or alignment of the implant can cause the surgery to fail to restore mobility to the shoulder or only restore mobility for a limited time. Additionally, placement of the glenoid implant on the scapula is complicated by the limited view available during surgery and the deformation of the glenoid caused by osteoarthritis. Implant designs must take into account the large amount of variability present in both intact and osteoarthritic joints. The purpose of this research is to provide a morphable glenoid representation for the scapula to assist with preoperative planning and implant design. CT scans of healthy and osteoarthritic glenoids were provided by Hershey Medical Center for this study. Principal component analysis and radial basis functions are used to represent a range of potential glenoid geometries, both with and without osteoarthritis. This parametric model can be used to guide the design and sizing of implants. This approach should be extensible to the modeling of other bony surfaces, which can improve both implant design and surgical procedure.",
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De Vries, CM & Parkinson, MB 2014, Identifying glenoid geometries through radial basis functions for implant design. in 40th Design Automation Conference. Proceedings of the ASME Design Engineering Technical Conference, vol. 2B, American Society of Mechanical Engineers (ASME), ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2014, Buffalo, United States, 8/17/14. https://doi.org/10.1115/DETC201435478

Identifying glenoid geometries through radial basis functions for implant design. / De Vries, Charlotte Marr; Parkinson, Matthew B.

40th Design Automation Conference. American Society of Mechanical Engineers (ASME), 2014. (Proceedings of the ASME Design Engineering Technical Conference; Vol. 2B).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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De Vries CM, Parkinson MB. Identifying glenoid geometries through radial basis functions for implant design. In 40th Design Automation Conference. American Society of Mechanical Engineers (ASME). 2014. (Proceedings of the ASME Design Engineering Technical Conference). https://doi.org/10.1115/DETC201435478