Date of Award
1-1-2017
Document Type
Masters Thesis
Degree Name
M.S.
Organizational Unit
Daniel Felix Ritchie School of Engineering and Computer Science, Computer Science
First Advisor
Peter Laz, Ph.D.
Second Advisor
Paul Rullkoetter
Third Advisor
Rachel Epstein
Keywords
Humerus, Modeling, Principle component analysis, Shape, Statistical shape modeling, Statistical
Abstract
The fit of the humeral prosthesis to the intramedullary canal and the replication of the anatomic humeral head center are important factors in Total Shoulder Arthroplasty (TSA). The objective of this thesis was to develop a Statistical Shape Model (SSM) of the cortical and cancellous bone regions of the proximal humerus, and to assess potential shape differences with gender and ethnicity, with a goal of informing implant design. An SSM was used and Principal Component Analysis (PCA) was applied to data that represented both the cancellous and cortical humeral bone of 63 healthy subjects and cadavers. Anatomical measurements and PC scores were analyzed by gender and ethnicity. Scaling accounted for 75% of the variation in the training set. Differences between males and females were primarily in size. Ethnicity differences were observed in the relationship between medial and posterior offset. Differences in ethnicity and/or gender were observed in the relationship between posterior offset and the head inclination angle. These are differences that should be considered when designing implants for a global population or subpopulation.
Publication Statement
Copyright is held by the author. User is responsible for all copyright compliance.
Rights Holder
Paul B. Sade Sr.
Provenance
Received from ProQuest
File Format
application/pdf
Language
en
File Size
81 p.
Recommended Citation
Sade, Paul B. Sr., "Statistical Shape Modeling to Quantify Variation in the Proximal Humeral Anatomy" (2017). Electronic Theses and Dissertations. 1289.
https://digitalcommons.du.edu/etd/1289
Copyright date
2017
Discipline
Biomedical Engineering, Mechanical Engineering, Engineering