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Dimensional Accuracy Assessment of Medical Anatomical Models Produced by Hospital-Based Fused Deposition Modeling 3D Printer

Kevin Wendo, Catherine Behets, Olivier Barbier, Benoît Herman, Thomas Schubert, Benoît Raucent, Raphaël Olszewski

2025Journal of Imaging8 citationsDOIOpen Access PDF

Abstract

As 3D printing technology expands rapidly in medical disciplines, the accuracy evaluation of 3D-printed medical models is required. However, no established guidelines to assess the dimensional error of anatomical models exist. This study aims to evaluate the dimensional accuracy of medical models 3D-printed using a hospital-based Fused Deposition Modeling (FDM) 3D printer. Two dissected cadaveric right hands were marked with Titanium Kirshner wires to identify landmarks on the heads and bases of all metacarpals and proximal and middle phalanges. Both hands were scanned using a Cone Beam Computed Tomography scanner. Image post-processing and segmentation were performed on 3D Slicer software. Hand models were 3D-printed using a professional hospital-based FDM 3D printer. Manual measurements of all landmarks marked on both pairs of cadaveric and 3D-printed hands were taken by two independent observers using a digital caliper. The Mean Absolute Difference (MAD) and Mean Dimensional Error (MDE) were calculated. Our results showed an acceptable level of dimensional accuracy. The overall study's MAD was 0.32 mm (±0.34), and its MDE was 1.03% (±0.83). These values fall within the recommended range of errors. A high level of dimensional accuracy of the 3D-printed anatomical models was achieved, suggesting their reliability and suitability for medical applications.

Topics & Concepts

Calipers3d printedFused deposition modelingDICOM3d printerComputer science3D printingArtificial intelligenceSegmentationCadaveric spasmComputer visionScanner3d model3D modelingSoftwareDigital Light ProcessingBiomedical engineeringComputer graphics (images)MedicineAnatomyMathematicsMaterials scienceEngineeringGeometryMechanical engineeringComposite materialProjectorProgramming languageAnatomy and Medical TechnologySurgical Simulation and TrainingArtificial Intelligence in Healthcare and Education
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