Digital-image-based finite element analysis for bone microstructure using conjugate gradient and Gaussian filter techniques

Scott J. Hollister; Barbara A. Riemer

doi:10.1117/12.146616

23 June 1993 Digital-image-based finite element analysis for bone microstructure using conjugate gradient and Gaussian filter techniques

Scott J. Hollister, Barbara A. Riemer

Author Affiliations +

Proceedings Volume 2035, Mathematical Methods in Medical Imaging II; (1993) https://doi.org/10.1117/12.146616
Event: SPIE's 1993 International Symposium on Optics, Imaging, and Instrumentation, 1993, San Diego, CA, United States

Abstract

Analyzing bone micromechanics has become increasingly necessary for understanding how bone structure is adapted in response to mechanical stimulus. The complex geometry of bone microstructure makes it difficult to use traditional finite element techniques for analysis. The use of finite element modeling procedure based on direct mesh generation from digital images using an Element-By-Element Preconditioned Conjugate Gradient solution technique for analyzing bone microstructure was presented. The results from digitized meshes were compared to smooth mesh results for microstructures of regular geometry to assess the digitized solutions. The digitized solutions were found to match the smooth mesh solutions well except near material boundaries where the digitized solutions exhibited numerical oscillations. A smoothing procedure utilizing Gaussian Filter techniques was investigated for smoothing solution oscillations, but results indicated that the filtering techniques did not significantly smooth the oscillation. In conclusion, digital image based finite element analysis will produce reasonably accurate estimates of stress and strain within microstructures but smoothing techniques for numerical oscillations at material boundaries need to be developed.

Citation Download Citation

Scott J. Hollister and Barbara A. Riemer "Digital-image-based finite element analysis for bone microstructure using conjugate gradient and Gaussian filter techniques", Proc. SPIE 2035, Mathematical Methods in Medical Imaging II, (23 June 1993); https://doi.org/10.1117/12.146616

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available