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.
Authors
- Xin Zhao (ORCID: https://orcid.org/0000-0001-9250-1002)
- Jinjie Huang (ORCID: https://orcid.org/0009-0003-4253-0448)
- Mingcong Xu (ORCID: https://orcid.org/0000-0001-8382-1872)
Institutions
- Harbin University of Science and Technology (CN)
- University of South China (CN)
- University of Science and Technology Beijing (CN)
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
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Heilongjiang Province