Lightweight encoding for medical additive manufacturing files.

ABSTRACT:

Background

Additive manufacturing technology has revolutionized the medical field by enabling the production of customized implants with complex internal structures that enhance mechanical properties and biocompatibility. These intricate designs often result in exceedingly large 3D model files due to the high level of detail required. The substantial data volume poses significant file storage, transmission, and processing challenges. Traditional compression methods cannot encode complex models efficiently without compromising accuracy and compatibility. This study aims to develop a lightweight encoding strategy for 3D geometric files in medical additive manufacturing that significantly reduces file size while preserving data accuracy and compatibility with existing industry-standar

SUBMITTER: Zhao X 

PROVIDER: S-EPMC12323226 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature