Watertight 2-manifold 3D bone surface model reconstruction from CT images based on visual hyper-spherical mapping.
Tianran Yuan1, Hongsheng Zhang1, Hao Liu2
1School of Mechanical and Material Engineering, Huaiyin Institute of Technology, Huaian, Jiangsu 223003, China.
Mathematical Biosciences and Engineering : MBE
|March 24, 2021
Summary
This study presents a novel algorithm for reconstructing accurate 3D bone surface models from CT images. The method ensures watertight models with preserved surface details, advancing medical imaging applications.
Area of Science:
- Medical Imaging
- Computer-Aided Surgery
- 3D Reconstruction
Background:
- Accurate 3D bone surface models are crucial for surgical planning and medical education.
- Existing CT-based reconstruction methods may struggle with watertightness and fine detail preservation.
Purpose of the Study:
- To develop a general algorithm for reconstructing watertight 2-manifold 3D bone surface models from CT images.
- To improve the accuracy and detail preservation of bone surface reconstruction.
Main Methods:
- The algorithm employs a three-step process: two-step thresholding with 3D morphology, hyper-spherical projection mapping for visible point extraction, and implicit surface reconstruction.
- An initial watertight model is generated and then optimized through deformation using wider threshold segmentation data.
Main Results:
- The proposed algorithm successfully reconstructs watertight 3D bone surface models from CT images.
- Experimental results demonstrate accurate restoration of local bone surface details.
Conclusions:
- The developed algorithm provides a robust method for generating high-fidelity, watertight 3D bone models from CT data.
- This technique has the potential to enhance pre-operative planning and visualization in orthopedic procedures.
