Osteoporosis and Fatigue Fracture Prevention by Analysis of Bone Microdamage

Presbítero, Gerardo; Gueorguiev, David; Taylor, David

doi:10.1007/978-3-319-51493-2_30

Cited by 3 publications

(3 citation statements)

References 29 publications

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“…They begin as microfractures and become more extensive with repetitive stresses, until reaching a macrofracture size of approximately 1 mm, the size necessary to result in a true fracture through the structure of a material [8]. Weibull analysis is the most commonly chosen technique for estimating a probability based on measured or assumed data.…”

Section: Introductionmentioning

confidence: 99%

Application of Microfracture Analysis to Fatigue Fractures in Materials through Non-Destructive Tests

Sánchez-Santana,

Presbítero-Espinosa,

Quiroga-Arias

2024

Materials

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Fatigue fractures in materials are the main cause of approximately 80% of all material failures, and it is believed that such failures can be predicted and mathematically calculated in a reliable manner. It is possible to establish prediction modalities in cases of fatigue fractures according to three fundamental variables in fatigue, such as volume, number of fracture cycles, as well as applied stress, with the integration of Weibull constants (length characteristic). In this investigation, mechanical fatigue tests were carried out on specimens smaller than 4 mm2, made of different industrial materials. Their subsequent analysis was performed through precision computed tomography, in search for microfractures. The measurement of these microfractures, along with their metrics and classifications, was recorded. A convolutional neural network trained with deep learning was used to achieve the detection of microfractures in image processing. The detection of microfractures in images with resolutions of 480 × 854 or 960 × 960 pixels is the primary objective of this network, and its accuracy is above 95%. Images that have microfractures and those without are classified using the network. Subsequently, by means of image processing, the microfracture is isolated. Finally, the images containing this feature are interpreted using image processing to obtain their area, perimeter, characteristic length, circularity, orientation, and microfracture-type metrics. All values are obtained in pixels and converted to metric units (μm) through a conversion factor based on image resolution. The growth of microfractures will be used to define trends in the development of fatigue fractures through the studies presented.

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Section: Introductionmentioning

confidence: 99%

Application of Microfracture Analysis to Fatigue Fractures in Materials through Non-Destructive Tests

Sánchez-Santana,

Presbítero-Espinosa,

Quiroga-Arias

2024

Materials

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“…This mentioned microfracture analysis aimed to deduct statistically, according to the use of Weibull distribution [6], if there was a tendency of increase in microfracture accumulations with age and gamma radiation. It was then analyzed if age and gamma radiation had a direct relationship in the increase of generation and development of microfractures, to provoke the fracture of bones by fatigue, by means of a novel theoretical model based on a concept called characteristic length [7][8].…”

mentioning

confidence: 99%

“…In relation to our studies, it has been reported based on experimental and scientifically proven evidence, the conditions in which microcracks generated by fatigue and observed by conventional basic fuchsin staining and fluorescence microscopy, as shown in figure 1, affect the fracture properties of the bones. This has great clinical relevance towards the prevention of the development of stress fractures and osteoporosis, with the use of the new theoretical model developed to describe the behavior of microfractures in bones, using the probabilistic analysis on Weibull distribution and the concept of a characteristic length [6][7][8].…”

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confidence: 99%

Analysis of bone microdamage with Twinned Orthogonal Adjustable Tomograph towards fatigue fracture prevention

Presbítero¹,

Vopálenský²,

Kumpová³

et al. 2019

eJNDT

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We work in the consolidation of previous studies performed by us concerning microdamage developments in bones with use of conventional basic fuchsin staining, in which we stated that age and gamma radiation had a direct influence on the increase in the generation and growth of microfractures, to provoke the fracture of bones by fatigue by means of a novel theoretical model based on a concept called characteristic length. The mentioned conventional staining technique has the disadvantage of being invasive, destructive, two-dimensional (2-D), and tedious. For this reason, the aim of our current work was the use of a world-unique patented computed tomography device – TORATOM. With the use of precipitation barium sulfate process, we identified individual microcracks, which will be analysed in further studies to define better predictive models to understand and prevent fatigue fractures due to stress and fragility related to osteoporosis, which will be useful in developing new clinical approaches to the problem of osteoporosis.

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Deep Learning and Finite Element Method Towards the Application of Microfracture Analysis for Prevention of Fatigue Fractures in Bones

Presbítero-Espinosa

Quiroga-Arias

Hernández-Ferruzca³

et al. 2022

The Minerals, Metals &Amp; Materials Series

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Osteoporosis and Fatigue Fracture Prevention by Analysis of Bone Microdamage

Cited by 3 publications

References 29 publications

Application of Microfracture Analysis to Fatigue Fractures in Materials through Non-Destructive Tests

Application of Microfracture Analysis to Fatigue Fractures in Materials through Non-Destructive Tests

Analysis of bone microdamage with Twinned Orthogonal Adjustable Tomograph towards fatigue fracture prevention

Deep Learning and Finite Element Method Towards the Application of Microfracture Analysis for Prevention of Fatigue Fractures in Bones

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