Structure-property relationships in fibrous meniscal tissue through image-based augmentation.

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Tác giả: Masoud Babaei, Olga Barrera, Mohsen Besharat, Han Fang, Andrew Holland, Arash Rabbani, Ali Sadeghkhani

Ngôn ngữ: eng

Ký hiệu phân loại:

Thông tin xuất bản: England : Philosophical transactions. Series A, Mathematical, physical, and engineering sciences , 2025

Mô tả vật lý:

Bộ sưu tập: NCBI

ID: 706796

This study introduces an adaptive three-dimensional (3D) image synthesis technique for creating variational realizations of fibrous meniscal tissue microstructures. The method allows controlled deviation from original geometries by modifying parameters such as porosity, pore size and specific surface area of image patches. The unbiased reconstructed samples matched the morphological and hydraulic properties of original tissues, with relative errors generally below 10%. Additional samples were generated with predefined deviations to increase dataset diversity. Analysis of 1500 synthesized geometries revealed relationships between microstructural features, hydraulic permeability and mechanical properties. Empirical correlations were derived to predict longitudinal and transverse hydraulic permeability as functions of porosity, with
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