Orbit Segmentation by Surface Reconstruction With Automatic Sliced Vertex Screening.

Area of Science:

• Medical Imaging
• Computational Anatomy
• 3D Reconstruction

Background:

• Accurate segmentation of human orbits is crucial for medical imaging analysis.
• Traditional manual segmentation methods are time-consuming and prone to variability.

Purpose of the Study:

• To develop an automated computational approach for segmenting human orbits.
• To improve the efficiency and repeatability of orbit segmentation.

Main Methods:

• Hounsfield units thresholding for bony structure segmentation.
• 3D mesh model generation and Poisson surface reconstruction.
• Automated vertex screening and surface interpolation for accurate modeling.

Main Results:

• Mean volume differences below 0.3%.
• Root mean square surface differences within 0.3 mm.
• Validation against dried skulls and CT images confirmed clinical insignificance.

Conclusions:

• The proposed computational method offers a repeatable and efficient alternative to traditional orbit segmentation.
• The algorithm effectively closes fissures and interpolates surfaces, ensuring high accuracy.