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Dataset Information

Insights into geometric deviations of medical 3d-printing: a phantom study utilizing error propagation analysis.


ABSTRACT:

Background

The use of 3D-printing in medicine requires a context-specific quality assurance program to ensure patient safety. The process of medical 3D-printing involves several steps, each of which might be prone to its own set of errors. The segmentation error (SegE), the digital editing error (DEE) and the printing error (PrE) are the most important partial errors. Approaches to evaluate these have not yet been implemented in a joint concept. Consequently, information on the stability of the overall process is often lacking and possible process optimizations are difficult to implement. In this study, SegE, DEE, and PrE are evaluated individually, and error propagation is used to examine the cumulative effect of the partial errors.

Methods

The partial errors were analyzed

SUBMITTER: Juergensen L 

PROVIDER: S-EPMC11583775 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature