Lightweight encoding for medical additive manufacturing files

The lightweight encoding strategy effectively reduces the file size of complex medical 3D models by over 80% while preserving data accuracy and compatibility with existing formats. By efficiently encoding repetitive structures and optimizing mesh data, the method enhances storage and transmission efficiency, addressing the challenges of large data volumes in medical additive manufacturing. The compatibility with standard AMF and 3MF formats ensures that the encoded models can be directly utilized in existing 3D printing software without modification.

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Publication Details

Journal
3D Printing in Medicine
Published
2025-08-04
DOI
https://doi.org/10.1186/s41205-025-00283-w
Primary Topic
Computer Graphics and Visualization Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Lightweight encoding for medical additive manufacturing files

Xin Zhao, Jinjie Huang, Mingcong Xu
3D Printing in Medicine
Computer Graphics and Visualization Techniques
article

Lightweight encoding for medical additive manufacturing files

Xin Zhao, Jinjie Huang, Mingcong Xu
article en

Abstract

The lightweight encoding strategy effectively reduces the file size of complex medical 3D models by over 80% while preserving data accuracy and compatibility with existing formats. By efficiently encoding repetitive structures and optimizing mesh data, the method enhances storage and transmission efficiency, addressing the challenges of large data volumes in medical additive manufacturing. The compatibility with standard AMF and 3MF formats ensures that the encoded models can be directly utilized in existing 3D printing software without modification.

3D Printing in MedicineVol. 11(1)
Harbin University of Science and Technology (CN), University of South China (CN), University of Science and Technology Beijing (CN)
National Natural Science Foundation of China, Natural Science Foundation of Heilongjiang Province
Openalex Percentile: Top 65%
Computer Graphics and Visualization Techniques
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Lightweight encoding for medical additive manufacturing files — Xin Zhao, Jinjie Huang, et al. · 3D Printing in Medicine (2025) | TGRS Research Map | TGRS