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Bone Disorders

Bone Disorders

Aging and its effect on bone remodeling is the most common cause of bone disorders. In young and healthy people, bone deposition and resorption happen at an equal rate to maintain optimal bone health.
Bone deposition is also affected by the levels of sex hormones like estrogen and testosterone that promote osteoblast activity and bone matrix synthesis. When the level of these hormones decreases due to aging, it causes a reduction in bone deposition. As a result, bone resorption by osteoclasts...

The Bone Matrix

The Bone Matrix

Bone contains a relatively small number of cells entrenched in a matrix of collagen fibers that provide an adherent surface for inorganic salt crystals. Both components of the matrix, organic and inorganic, contribute to the unusual properties of bone. Without collagen, bones would be brittle and shatter easily. Without mineral crystals, bones would flex and provide little support. This can be observed by an experiment: when the minerals of a bone are dissolved by soaking the bone in...

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Related Experiment Video

Updated: May 27, 2025

Author Spotlight: An Economic and Efficient Method for Quantitative Evaluation of Bone Microarchitecture in a Murine Osteoporosis Model

Author Spotlight: An Economic and Efficient Method for Quantitative Evaluation of Bone Microarchitecture in a Murine Osteoporosis Model

Published on: September 8, 2023

Bone Data Lake: A storage platform for bone texture analysis.

Marcin Wolski¹, Tomasz Woloszynski¹, Gwidon Stachowiak¹

¹Tribology Laboratory, School of Civil and Mechanical Engineering, Curtin University, Perth, WA, Australia.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of Engineering in Medicine

|February 21, 2025

Summary

This summary is machine-generated.

A new Bone Data Lake (BDL) efficiently stores and processes diverse X-ray image data for osteoarthritis (OA) detection. This platform enables reliable analysis of trabecular bone texture for improved OA prediction.

Keywords:

Osteoarthritis bone cloud computing data lake radiographs

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Area of Science:

Medical imaging analysis
Osteoarthritis research
Data management systems

Background:

Trabecular bone (TB) texture analysis from X-rays aids osteoarthritis (OA) detection and prediction.
Challenges include managing large volumes and diverse formats of imaging data.

Purpose of the Study:

To propose and evaluate a novel storage platform, Bone Data Lake (BDL), for handling diverse OA-related imaging data.
To establish a foundation for reliable, secure, and collaborative OA detection systems.

Main Methods:

Developed BDL with raw data storage, processed data storage, and a data reference system.
Ingested 20,000 X-ray images in various formats, converting them to standardized TIFF.
Cataloged TB regions and calculated texture parameters using VOT and AVOT, storing them as CSV.

Main Results:

BDL efficiently processed diverse X-ray image formats and sizes.
Automated conversion, region selection, and parameter calculation were successful.
The system effectively cataloged bone regions and texture parameters.

Conclusions:

BDL provides an efficient solution for managing large-scale radiographic data for OA analysis.
The platform supports reliable, secure, and collaborative research in OA detection and prediction.