Skull Reconstruction from CT Images
Skull Reconstruction from CT Images
Embedded Files
Objective
Objective
Implement a 3-Dimensional reconstruction process for a skull model, from head CT study, by Hounsfield thresholding with Vtk library for Python under Ubuntu 3.8, manufaturing a 1:1 scale model by FDM (3D printing).
Implement a 3-Dimensional reconstruction process for a skull model, from head CT study, by Hounsfield thresholding with Vtk library for Python under Ubuntu 3.8, manufaturing a 1:1 scale model by FDM (3D printing).
SkullAnimation.aviTechnical Details
Technical Details
Dimensions
Dimensions
140 x 200 x 240
Printing Material
Printing Material
PLA
Software
Software
Python 3.7, Vtk, MeshLab, Fusion 360
Print Parameters
Print Parameters
Print speed: 70mm/s
Travel speed: 100mm/s
Extruder T.: 210°C
Infill density: 10%
Build plate T.: 60°C
Weight
Weight
1 kg
Results
Results
The process for 3-Dimensional reconstruction used 386 into the Hounsfield scale, 245 slices, and mesh processing by MeshLab and Laplacian smoothing.
The open-source algorithm lets its application for segmentation and reconstruction of bone tissue of any body part. Also, it opens an opportunity to explore its use in surgery training, simulation, and navigation.
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