Solid Model Generation and Shape Analysis of Human Crystalline Lens Using 3D Digitization and Scanning Techniques

This research establishes a methodological framework for generating geometrically accurate 3D representations of human crystalline lenses through scanning technologies and digital reconstruction. Multiple scanning systems were evaluated to identify optimal approaches for point cloud processing and subsequent development of parameterized solid models, facilitating comprehensive morpho-geometric characterization. Experimental work was performed at the 3D Scanning Laboratory of SEDIC (Industrial Design and Scientific Calculation Service) at the Technical University of Cartagena, employing five distinct scanner types based on structured light, laser, and infrared technologies. Test specimens—including preliminary calibration using a lentil and biological analysis of a human crystalline lens—were digitized under rigorously controlled environmental conditions. Acquired point clouds underwent processing in Rhinoceros software to produce digital surface meshes, which were subsequently converted into solid CAD models via SolidWorks. Model fidelity and biomedical relevance were assessed through quantification of geometric and physical properties. Scanner performance varied significantly in reconstruction precision and resolution, with structured blue light systems (e.g., Artec SPIDER) exhibiting superior capability for capturing lens surface topography compared to infrared or white light alternatives. Resultant models enabled accurate dimensional analysis of clinically relevant parameters including volumetric and surface area measurements. Technology-specific advantages and constraints were rigorously cataloged relative to sample attributes. Findings indicate that structured blue light scanning provides the most effective foundation for crystalline lens digitization and modeling. The presented methodological approach not only ensures high-fidelity solid model generation but also demonstrates translational potential in medical domains, from custom intraocular lens design to refinement of ophthalmic therapeutic interventions.

Authors

Publication Details

Journal
Computer Modeling in Engineering & Sciences
Published
2025-01-01
DOI
https://doi.org/10.32604/cmes.2025.071131
Primary Topic
Ophthalmology and Visual Impairment Studies
Type
article
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article

Solid Model Generation and Shape Analysis of Human Crystalline Lens Using 3D Digitization and Scanning Techniques

José S. Velázquez, Francisco Cavas, Dolores Ojados, Adrián Semitiel
Computer Modeling in Engineering & Sciences
Ophthalmology and Visual Impairment Studies
article

Solid Model Generation and Shape Analysis of Human Crystalline Lens Using 3D Digitization and Scanning Techniques

José S. Velázquez, Francisco Cavas, Dolores Ojados, Adrián Semitiel
article en

Abstract

This research establishes a methodological framework for generating geometrically accurate 3D representations of human crystalline lenses through scanning technologies and digital reconstruction. Multiple scanning systems were evaluated to identify optimal approaches for point cloud processing and subsequent development of parameterized solid models, facilitating comprehensive morpho-geometric characterization. Experimental work was performed at the 3D Scanning Laboratory of SEDIC (Industrial Design and Scientific Calculation Service) at the Technical University of Cartagena, employing five distinct scanner types based on structured light, laser, and infrared technologies. Test specimens—including preliminary calibration using a lentil and biological analysis of a human crystalline lens—were digitized under rigorously controlled environmental conditions. Acquired point clouds underwent processing in Rhinoceros software to produce digital surface meshes, which were subsequently converted into solid CAD models via SolidWorks. Model fidelity and biomedical relevance were assessed through quantification of geometric and physical properties. Scanner performance varied significantly in reconstruction precision and resolution, with structured blue light systems (e.g., Artec SPIDER) exhibiting superior capability for capturing lens surface topography compared to infrared or white light alternatives. Resultant models enabled accurate dimensional analysis of clinically relevant parameters including volumetric and surface area measurements. Technology-specific advantages and constraints were rigorously cataloged relative to sample attributes. Findings indicate that structured blue light scanning provides the most effective foundation for crystalline lens digitization and modeling. The presented methodological approach not only ensures high-fidelity solid model generation but also demonstrates translational potential in medical domains, from custom intraocular lens design to refinement of ophthalmic therapeutic interventions.

Computer Modeling in Engineering & SciencesVol. 145(2)
Openalex Percentile: Top 57%
Ophthalmology and Visual Impairment Studies
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Solid Model Generation and Shape Analysis of Human Crystalline Lens Using 3D Digitization and Scanning Techniques — José S. Velázquez, Francisco Cavas, et al. · Computer Modeling in Engineering & Sciences (2025) | TGRS Research Map | TGRS