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    A Novel, Image-Based Method for Characterization of the Porosity of Additively Manufactured Bone Scaffolds With Complex Microstructures

    Source: Journal of Manufacturing Science and Engineering:;2023:;volume( 145 ):;issue: 004::page 41008-1
    Author:
    Abdelgaber, Yousef
    ,
    Klemstine, Cole
    ,
    Salary, Roozbeh (Ross)
    DOI: 10.1115/1.4056434
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Bone tissue engineering has emerged as a promising strategy for the treatment of osseous fractures, defects, and ultimately diseases caused by, for example, bone tumor resection, accident trauma, and congenital malformation. Additive fabrication of stem cell-seeded, osteoconductive porous scaffolds has been an effective method in clinical practice for the treatment of bone pathologies (such as osteoporosis, osteoarthritis, and rheumatic diseases). Porosity is known to be one of the main morphological characteristics of bone tissues, which affects the functional performance of an implanted bone scaffold. Hence, in situ detection and quantification of scaffold porosity implemented to ensure functional integrity prior to implantation/surgery is an unavoidable need. The objective of this research work is to introduce a robust, image-based method for identification and subsequently characterization of the surface porosity and dimensional accuracy of additively manufactured bone tissue scaffolds, with a focus on pneumatic micro-extrusion (PME) process. It was observed that the presented method would be capable of detecting complex individual pores based on a micrograph. Using the proposed method, not only were scaffold pores detected, but also scaffold porosity was characterized on the basis of various defined quality metrics/traits (such as the relative standard deviation of distance to the nearest pore). The proposed method was validated by contrasting its performance in “surface pore detection” against that of a standard method, tested on a complex benchmark in four different simulated lighting environments. Besides, the performance of the method in terms of “pore filling” was compared to that of a standard method, tested on a real PME-fabricated bone scaffold. It was observed that the proposed method had a better performance in pore filling, detection, and consolidation. Overall, the outcomes of this work pave the way for high-resolution fabrication of patient-specific, structurally complex, and porous bone scaffolds with easily validatable, functional, and medical properties for the treatment of bone pathologies.
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      A Novel, Image-Based Method for Characterization of the Porosity of Additively Manufactured Bone Scaffolds With Complex Microstructures

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4294740
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    contributor authorAbdelgaber, Yousef
    contributor authorKlemstine, Cole
    contributor authorSalary, Roozbeh (Ross)
    date accessioned2023-11-29T19:25:01Z
    date available2023-11-29T19:25:01Z
    date copyright1/19/2023 12:00:00 AM
    date issued1/19/2023 12:00:00 AM
    date issued2023-01-19
    identifier issn1087-1357
    identifier othermanu_145_4_041008.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4294740
    description abstractBone tissue engineering has emerged as a promising strategy for the treatment of osseous fractures, defects, and ultimately diseases caused by, for example, bone tumor resection, accident trauma, and congenital malformation. Additive fabrication of stem cell-seeded, osteoconductive porous scaffolds has been an effective method in clinical practice for the treatment of bone pathologies (such as osteoporosis, osteoarthritis, and rheumatic diseases). Porosity is known to be one of the main morphological characteristics of bone tissues, which affects the functional performance of an implanted bone scaffold. Hence, in situ detection and quantification of scaffold porosity implemented to ensure functional integrity prior to implantation/surgery is an unavoidable need. The objective of this research work is to introduce a robust, image-based method for identification and subsequently characterization of the surface porosity and dimensional accuracy of additively manufactured bone tissue scaffolds, with a focus on pneumatic micro-extrusion (PME) process. It was observed that the presented method would be capable of detecting complex individual pores based on a micrograph. Using the proposed method, not only were scaffold pores detected, but also scaffold porosity was characterized on the basis of various defined quality metrics/traits (such as the relative standard deviation of distance to the nearest pore). The proposed method was validated by contrasting its performance in “surface pore detection” against that of a standard method, tested on a complex benchmark in four different simulated lighting environments. Besides, the performance of the method in terms of “pore filling” was compared to that of a standard method, tested on a real PME-fabricated bone scaffold. It was observed that the proposed method had a better performance in pore filling, detection, and consolidation. Overall, the outcomes of this work pave the way for high-resolution fabrication of patient-specific, structurally complex, and porous bone scaffolds with easily validatable, functional, and medical properties for the treatment of bone pathologies.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleA Novel, Image-Based Method for Characterization of the Porosity of Additively Manufactured Bone Scaffolds With Complex Microstructures
    typeJournal Paper
    journal volume145
    journal issue4
    journal titleJournal of Manufacturing Science and Engineering
    identifier doi10.1115/1.4056434
    journal fristpage41008-1
    journal lastpage41008-17
    page17
    treeJournal of Manufacturing Science and Engineering:;2023:;volume( 145 ):;issue: 004
    contenttypeFulltext
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