Designing of Patient-Specific Implant by Using Subdivision Surface Shaped on Parametrized Cloud of Points

Milovanović, Jelena; Vitković, Nikola; Stojković, Miloš; Mitković, Milorad

doi:10.17559/tv-20200502215442

Cited by 2 publications

(2 citation statements)

References 24 publications

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“…Applications of RE span a multitude of sectors, with notable implementations seen in aviation [4], the automotive industry [5], and architecture [6]. A medical pivot is also observed, where RE aids in geometrically reconstructing anatomical structures [7][8][9], facilitating implant designs [10][11][12], formulating surgical guides [13,14], and scaffold construction [15]. In the realm of model fabrication derived from RE, additive methods (AM) predominantly find usage.…”

Section: Introductionmentioning

confidence: 99%

Geometrical Precision and Surface Topography of mSLA-Produced Surgical Guides for the Knee Joint

Turek,

Jakubiec

2023

JEMSE

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In this study, the precision of anatomical models and surgical guides pertaining to the knee joint, fabricated using the mSLA technique, was critically examined. The ITK-SNAP program was employed for the segmentation and reconstruction of knee joint anatomical structures, while surgical guide modelling was executed using the Siemens NX program. Subsequent fabrication of the models was accomplished with the Anycubic Photon Mono 4K MSLA 3D printer. An MCA II articulated arm equipped with a laser head, in conjunction with a TalyScan 150 profilometer, was utilized to gauge both the geometrical fidelity and surface roughness of the resulting models. Results indicated that the geometrical precision of these models remained within a tolerance of +/-0.3 mm. With regard to surface roughness, the Sa parameter was observed to lie between 2 and 2.5 µm.

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Section: Introductionmentioning

confidence: 99%

Geometrical Precision and Surface Topography of mSLA-Produced Surgical Guides for the Knee Joint

Turek,

Jakubiec

2023

JEMSE

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“…The applications of RE are wide-ranging, encompassing aviation [6], automotive [7], and architectural fields [8]. Its utilities are further witnessed in the medical sector, where it is employed in the reconstruction of anatomical structures' geometry [9][10][11], design of implants [12][13][14], surgical templates [15,16], and scaffolds [17].…”

Section: Introductionmentioning

confidence: 99%

Precision Analysis of Chain Wheel Geometry Reconstruction Based on Contact and Optical Measurement Data

Turek,

Jędras

2023

JEMSE

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This study focuses on the detailed reconstruction of chain wheel geometry utilizing measurement data gathered from the MarSurfXC20 contact system and the iNEXIVE VMA 2520 optical system. Supplementary data were also gathered from a digital micrometer and a caliper to provide a comprehensive data set for the analyzed geometry. The geometric model of the chain wheel was then constructed using Siemens NX software. The reconstructed model was subsequently compared with the original design specifications to assess the fidelity of the reconstructed model. Results demonstrate a high degree of correlation between the model generated by reverse engineering and the original design model. Despite the satisfactory correlation, potential inaccuracies were identified, necessitating further research to mitigate these discrepancies and optimize the procedures for parameters beyond the established tolerance. The study affirms the feasibility of utilizing contact and optical measuring systems in the reverse engineering process of chain wheel geometry, although it underscores the need for additional refinement to improve the model's accuracy.

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Designing of Patient-Specific Implant by Using Subdivision Surface Shaped on Parametrized Cloud of Points

Cited by 2 publications

References 24 publications

Geometrical Precision and Surface Topography of mSLA-Produced Surgical Guides for the Knee Joint

Geometrical Precision and Surface Topography of mSLA-Produced Surgical Guides for the Knee Joint

Precision Analysis of Chain Wheel Geometry Reconstruction Based on Contact and Optical Measurement Data

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