Assessing the biomechanical strength of trabecular bone in vitro using 3D anisotropic nonlinear texture measures: the scaling vector method

Roberto A. Monetti; Holger F. Bohm; Dirk Muller; Ernst J. Rummeny; Thomas M. Link; Christoph W. Rath

doi:10.1117/12.532708

12 May 2004 Assessing the biomechanical strength of trabecular bone in vitro using 3D anisotropic nonlinear texture measures: the scaling vector method

Roberto A. Monetti, Holger F. Bohm, Dirk Muller, Ernst J. Rummeny, Thomas M. Link, Christoph W. Rath

Author Affiliations +

Proceedings Volume 5370, Medical Imaging 2004: Image Processing; (2004) https://doi.org/10.1117/12.532708
Event: Medical Imaging 2004, 2004, San Diego, California, United States

Abstract

We introduce the scaling vector method (SVM): a technique to obtain local non-linear structural information from data sets suitable in cases where anisotropy plays an important role. We apply the SVM to High Resolution Magnetic Resonance Images (HRMRI) of human proximal femur specimens IN VITRO which contain a large portion of bone tissue forming a complex network of mineralized trabeculae oriented along the major stress lines. By means of the SVM, we extract a 3D non-linear local anisotropic texture measure which we use to compare with similar isotropic texture measures, bone mineral density (BMD) and standard isotropic 2D (linear) morphometric parameters in the prediction of the biomechanical properties of the trabecular bone. Our results show that structural non-linear anisotropic texture measures which account for the preferential direction of the trabeculae are superior to isotropic and bulk measures in the prediction of the mechanical properties of the human proximal femur in vitro.

Citation Download Citation

Roberto A. Monetti, Holger F. Bohm, Dirk Muller, Ernst J. Rummeny, Thomas M. Link, and Christoph W. Rath "Assessing the biomechanical strength of trabecular bone in vitro using 3D anisotropic nonlinear texture measures: the scaling vector method", Proc. SPIE 5370, Medical Imaging 2004: Image Processing, (12 May 2004); https://doi.org/10.1117/12.532708

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