Abstract/Details

Development of a DXA-Based Patient-Specific Finite Element Model for Assessing Osteoporotic Fracture Risk

Ferdous, Zannatul.   University of Manitoba (Canada) ProQuest Dissertations Publishing,  2012. MR95613.

Abstract (summary)

In this thesis, a two-dimensional (2D) finite element (FE) model was developed from the patient’s hip DXA image to evaluate osteoporotic fracture risk. The loading configuration was designed to simulate a lateral fall onto the greater trochanter. Bone inhomogeneous mechanical properties (e.g. Young’s modulus) assigned to the FE model were correlated to bone mineral density captured in DXA image using empirical functions. In-house MATLAB codes were developed to investigate the effects of different factors such as bone mineral density, femoral neck length, neck diameter, neck angle and patient’s body weight on fracture risk. The 2D FE model constructed from DXA image was able to de-termine the factors which affect fracture risk to a greater extent based on the location of femur. The model developed here can be considered as a first attempt for investigating the effects of different parameters on fracture risk using patient specific 2D FE method.

Indexing (details)


Subject
Biomedical engineering;
Mechanical engineering
Classification
0541: Biomedical engineering
0548: Mechanical engineering
Identifier / keyword
Applied sciences; Finite element analysis; Fracture risk; Osteoporosis
Title
Development of a DXA-Based Patient-Specific Finite Element Model for Assessing Osteoporotic Fracture Risk
Author
Ferdous, Zannatul
Number of pages
112
Degree date
2012
School code
0303
Source
MAI 52/04M(E), Masters Abstracts International
Place of publication
Ann Arbor
Country of publication
United States
ISBN
978-0-494-95613-7
Advisor
Luo, Yunhua
University/institution
University of Manitoba (Canada)
Department
Mechanical and Manufacturing Engineering
University location
Canada -- Manitoba, CA
Degree
M.Sc.
Source type
Dissertation or Thesis
Language
English
Document type
Dissertation/Thesis
Dissertation/thesis number
MR95613
ProQuest document ID
1490568514
Copyright
Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works.
Document URL
https://www.proquest.com/docview/1490568514