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Related Concept Videos

Bone Structure01:55

Bone Structure

Within the skeletal system, the structure of a bone, or osseous tissue, can be exemplified in a long bone, like the femur, where there are two types of osseous tissue: cortical and cancellous.
Bone Remodeling01:40

Bone Remodeling

Bone remodeling is a continuous and balanced process of bone resorption by osteoclasts and bone formation by osteoblasts. In adults, it helps maintain bone mass and calcium homeostasis. While mechanical stress can stimulate turnover as part of the normal maintenance and reparative process, several hormones also regulate bone remodeling.
Bone Remodeling and Repair01:31

Bone Remodeling and Repair

Osteoclasts are cells responsible for bone resorption and remodeling. They originate from hematopoietic progenitor cells present in the bone marrow. Numerous progenitor cells fuse to form multinucleated cells, each with 10-20 nuclei. A single osteoclast has a diameter of 150 to 200 µM. These cells have ruffled borders that break down the underlying bone tissue and release minerals such as calcium into the blood in bone resorption. Osteoclasts cling to bones with their ruffled edges during bone...

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Related Experiment Video

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Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion
09:32

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Published on: April 11, 2018

Computationally-optimized bone mechanical modeling from high-resolution structural images.

Jeremy F Magland1, Ning Zhang, Chamith S Rajapakse

  • 1Laboratory for Structural NMR Imaging, Department of Radiology, University of Pennsylvania Medical Center, Philadelphia, Pennsylvania, United States of America. Jeremy.Magland@gmail.com

Plos One
|May 5, 2012
PubMed
Summary
This summary is machine-generated.

This study presents an optimized micro-finite element (μFE) modeling approach for bone strength analysis. The developed system enables efficient in vivo bone simulations on standard computers, reducing computational demands for clinical applications.

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Area of Science:

  • Biomechanics
  • Medical Imaging
  • Computational Science

Background:

  • Image-based mechanical modeling of bone microstructure shows potential for assessing bone strength and fracture risk non-invasively.
  • Micro-finite element (μFE) simulations provide elastic moduli that correlate with cadaveric bone mechanical testing.
  • Current μFE simulation programs demand substantial computing resources, limiting their practical use in labs and clinics.

Purpose of the Study:

  • To theoretically derive and computationally evaluate the resource requirements for image-based μFE bone simulations.
  • To develop and optimize a μFE modeling approach for the complex 3D architecture of trabecular bone.
  • To enable efficient bone simulations on high-end desktop computers for laboratory and clinical applications.

Main Methods:

  • Developed a μFE modeling approach optimized for trabecular bone architecture.
  • Implemented domain decomposition for parallel computing.
  • Introduced a novel stopping criterion and a system for accelerated convergence using coarser grids.

Main Results:

  • A model of distal tibia (200,000 elements) from 3D MRI converged in under 30 seconds with 40 MB RAM on a dual quad-core Xeon system.
  • Axial stiffness estimation from a 90 million element human proximal femur model (micro-CT) completed in seven hours.
  • The system demonstrates practical computation times for large-scale μFE simulations.

Conclusions:

  • The described system significantly reduces computational demands for image-based finite element bone simulations.
  • This approach facilitates the use of μFE analysis in practical laboratory studies and clinical imaging settings.
  • Enables efficient characterization of bone strength and fracture risk using in vivo imaging data.