Scaling index method: a novel nonlinear technique for the analysis of high-resolution MRI of human bones

Roberto A. Monetti; Holger Bohm; Dirk Muller; David Newitt; Sharmila Majumdar; Ernst Rummeny; Thomas M. Link; Christoph Rath

doi:10.1117/12.481099

15 May 2003 Scaling index method: a novel nonlinear technique for the analysis of high-resolution MRI of human bones

Roberto A. Monetti, Holger Bohm, Dirk Muller, David Newitt, Sharmila Majumdar, Ernst Rummeny, Thomas M. Link, Christoph Rath

Author Affiliations +

Proceedings Volume 5032, Medical Imaging 2003: Image Processing; (2003) https://doi.org/10.1117/12.481099
Event: Medical Imaging 2003, 2003, San Diego, California, United States

Abstract

The scaling index method (SIM) is a novel non-linear technique to extract structural information from arbitrary data sets. The tomographic images of a three dimensional object can be interpreted as a pixel distribution in a four dimensional space. The SIM provides a distribution of pointwise dimensions which characterizes the structural information of images. The SIM is applied to high resolution magnetic resonance images of human spinal and femoral bone specimens IN VITRO in order to derive a 3d non-linear texture measure which is compared to standard 2d morphometric parameters and bone mineral density in the prediction of biomechanical strength of trabecular bone. Our results show that structural non-linear parameters associated with the trabecular substructure of the bone can effectively predict the mechanical properties of trabecular bone in vitro. This indicates that the trabecular architecture contributes substantially to the biomechanical properties of the bone.

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Roberto A. Monetti, Holger Bohm, Dirk Muller, David Newitt, Sharmila Majumdar, Ernst Rummeny, Thomas M. Link, and Christoph Rath "Scaling index method: a novel nonlinear technique for the analysis of high-resolution MRI of human bones", Proc. SPIE 5032, Medical Imaging 2003: Image Processing, (15 May 2003); https://doi.org/10.1117/12.481099

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