Evidence map›Paper›PMID 28474182›Full record

ArticleMedical & biological engineering & computing2017

Homogenous scaffold-based cranial/skull implant modelling and structural analysis-unit cell algorithm-meshless approach.

V Phanindra Bogu, Y Ravi Kumar, Asit Kumar Khanra

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Article in Medical & biological engineering & computing, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

V Phanindra BoguDepartment of Mechanical Engineering, National Institute of Technology Warangal, Warangal, Telangana, 506004, India. phanibogu@gmail.com.ORCID http://orcid.org/0000-0002-4773-6299
Y Ravi KumarDepartment of Mechanical Engineering, National Institute of Technology Warangal, Warangal, Telangana, 506004, India.
Asit Kumar KhanraDepartment of Metallurgical & Material Engineering, National Institute of Technology Warangal, Warangal, Telangana, 506004, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This computational study explores a unique modelling approach of the cranial implant, homogenous scaffold algorithm and meshless method, respectively. This meshless method is employed to review the implant underneath intracranial pressure (ICP) conditions with a standard ICP range of 7 mm of Hg to 15 mm of Hg. The algorithm is used to introduce uniform porosity within the implant enabling the implant behaviour with respect to ICP conditions. However, increase in the porosity leads to variation in deformation and equivalent stress, respectively. The meshless approach provides a valuable insight in order to know the effect of total deformation and equivalent stress (von Mises stress) and replaces the standard meshing strategies. The patient CT data (computed tomography) is processed in MIMICS software to get the mesh model. An entirely unique modelling approach is developed to model the cranial implant with the assistance of the Rhinoceros software. This modelling methodology is the easiest one and addressing both the symmetrical and asymmetrical defects. The implant is embedded in a unit cell-based porous structure with the help of an algorithm, and this algorithm is simple to manage the consistency in porosity and pore size of the scaffold. Totally six types of implants are modelled with variation in porosity and replicate the original cranial bone. Among six implants, Type 2 (porosity 82.62%) and Type 5 (porosity 45.73%) implants are analysed with the meshless approach under ICP. The total deformation and equivalent stress (von Mises stress) of porous implants are compared with the solid implant under same ICP conditions. Consequently, distinctive materials are used for structural analysis such as titanium alloy (Ti6Al4V) and polyether-ether-ketone (PEEK), respectively. The deformation and equivalent stress (von Mises stress) results are obtained through the structural analysis. It was observed from the results that the titanium-based solid implant is the best implant in all aspects, while considering weight and osseointegration PEEK-based Type 5 implant is the best one. A novel free-form closed curve network (FCN) technique is successfully developed to model a cranial implant for symmetrical and asymmetrical defects. The porous implant is adequately modelled through the unit cell algorithm and analysed through meshless approach. The implementation of 3D printed component will allow physicians to gain knowledge and successfully plan the preoperative surgery.

Indexed as

AlgorithmsAlloysBenzophenonesFinite Element AnalysisHumansKetonesMaterials TestingOsseointegrationPolyethylene GlycolsPolymersPorosityProstheses and ImplantsSkullSoftwareTitaniumAlloysBenzophenonesKetonespolyetheretherketonePolyethylene GlycolsPolymersTitaniumtitanium alloy (TiAl6V4)Intracranial pressureMeshless methodScaffold algorithmSymmetrical and asymmetrical defectsUnit cell parameters

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.