Growth of a Long Bone Section Based on Inorganic Hydroxyapatite Crystals as Cellular Automata

This work explores the morphogenesis of the skeletal mineral component, with a specific emphasis on hydroxyapatite (HAp) crystal assembly. Bone is fundamentally a triphasic biomaterial, consisting of an inorganic mineral phase, an organic matrix, and an aqueous component. The inorganic phase (hydroxyapatite), is characterized by its hexagonal prismatic nanocrystalline structure. We leverage a cellular automata (CA) paradigm to computationally simulate the mineralization process, leading to the formation of the bone’s hydroxyapatite framework. This model exclusively considers the physicochemical aspects of bone formation, intentionally excluding the biological interactions that govern in vivo skeletal development. To optimize computational efficiency, a simplified anatomical segment of a long bone (e.g., the femur) is modeled. This geometric simplification encompasses an outer ellipsoidal cylindrical boundary (periosteal envelope), an inner ellipsoidal surface defining the interface between cortical and cancellous bone, and a central circular cylindrical lumen representing the medullary cavity, which accommodates the bone marrow and primary vasculature. The CA methodology is applied to generate the internal bone microarchitecture, while deliberately omitting the design of smaller, secondary vascular channels.

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Publication Details

Journal
AppliedMath
Published
2025-07-04
DOI
https://doi.org/10.3390/appliedmath5030085
Primary Topic
Cellular Automata and Applications
Type
article
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article

Growth of a Long Bone Section Based on Inorganic Hydroxyapatite Crystals as Cellular Automata

Irma Martín, Gabriela Rivadeneyra, César Renán Acosta
1 links
AppliedMath
Cellular Automata and Applications
article

Growth of a Long Bone Section Based on Inorganic Hydroxyapatite Crystals as Cellular Automata

Irma Martín, Gabriela Rivadeneyra, César Renán Acosta
article en

Abstract

This work explores the morphogenesis of the skeletal mineral component, with a specific emphasis on hydroxyapatite (HAp) crystal assembly. Bone is fundamentally a triphasic biomaterial, consisting of an inorganic mineral phase, an organic matrix, and an aqueous component. The inorganic phase (hydroxyapatite), is characterized by its hexagonal prismatic nanocrystalline structure. We leverage a cellular automata (CA) paradigm to computationally simulate the mineralization process, leading to the formation of the bone’s hydroxyapatite framework. This model exclusively considers the physicochemical aspects of bone formation, intentionally excluding the biological interactions that govern in vivo skeletal development. To optimize computational efficiency, a simplified anatomical segment of a long bone (e.g., the femur) is modeled. This geometric simplification encompasses an outer ellipsoidal cylindrical boundary (periosteal envelope), an inner ellipsoidal surface defining the interface between cortical and cancellous bone, and a central circular cylindrical lumen representing the medullary cavity, which accommodates the bone marrow and primary vasculature. The CA methodology is applied to generate the internal bone microarchitecture, while deliberately omitting the design of smaller, secondary vascular channels.

AppliedMathVol. 5(3)
Autonomous University of Yucatán (MX)
Openalex Percentile: Top 82%
Cellular Automata and Applications
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Growth of a Long Bone Section Based on Inorganic Hydroxyapatite Crystals as Cellular Automata — Irma Martín, Gabriela Rivadeneyra, et al. · AppliedMath (2025) | TGRS Research Map | TGRS