A method for three-dimensional surface reconstruction of volume data field.

Objective: To explore a novel method of three-dimensional (3D) reconstruction based on vector field smoothing, for the purpose of 3D surface reconstruction of DICOM format volume data sets.

Methods: 3D external surface of three sets of volume data, namely craniocerebral volume data, pelvis volume data, and rat embryo volume data, were respectively extracted by Marching Cubes algorithm using small triangle flakes to approach the original 3D structure surfaces. Vector field smoothing was performed on the extracted 3D surfaces. The reconstructed 3D structures were rendered from different angles of view through arbitrary rotation.

Results: High-quality results of 3D surface reconstruction were obtained for each set of volume data, demonstrating fine 3D surface details and high fidelity.

Conclusion: This method can improve 3D surface reconstruction from DICOM volume data sets, promising high quality, fidelity and reality.