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

Various parameters affecting geometric deviations in medical 3D-printing were analyzed. Especially, soft reconstruction kernels seem to be advantageous for segmentation. The concept of error propagation can contribute to a better understanding of the process specific errors and enable future analytical approaches to calculate the total error based on process parameters.

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Publication Details

Journal
3D Printing in Medicine
Published
2024-11-22
DOI
https://doi.org/10.1186/s41205-024-00242-x
Citations
5
Primary Topic
Anatomy and Medical Technology
Type
article
Field-Weighted Citation Impact
0.92
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article

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

Robert Rischen, Martin Schulze, Georg Gosheger, Julian Hasselmann et al.
5 citations
3D Printing in Medicine
Anatomy and Medical Technology
0.92
article

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

Robert Rischen, Martin Schulze, Georg Gosheger, Julian Hasselmann, Lukas Juergensen, Max Toennemann, Arne Pollmanns
article en
5 citations

Abstract

Various parameters affecting geometric deviations in medical 3D-printing were analyzed. Especially, soft reconstruction kernels seem to be advantageous for segmentation. The concept of error propagation can contribute to a better understanding of the process specific errors and enable future analytical approaches to calculate the total error based on process parameters.

3D Printing in MedicineVol. 10(1)
University Hospital Münster (DE), FH Münster University of Applied Sciences (DE)
Openalex Percentile: Top 27%
Anatomy and Medical Technology
0.92
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