https://github.com/computationalphysiology/mesh-generation-guide
A visual guide to mesh generation from medical images using open-source tools available for any operating system.
https://github.com/computationalphysiology/mesh-generation-guide
Science Score: 13.0%
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Low similarity (4.8%) to scientific vocabulary
Repository
A visual guide to mesh generation from medical images using open-source tools available for any operating system.
Basic Info
- Host: GitHub
- Owner: ComputationalPhysiology
- License: bsd-3-clause
- Default Branch: master
- Size: 10.9 MB
Statistics
- Stars: 1
- Watchers: 3
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
A Hitchhiker’s Guide to Mesh Generation from Medical Images
by Alexandra K. Diem @akdiem
The scope of this tutorial is to serve as a visual guide for anyone getting into medical image segmentation for the purpose of creating a finite element mesh. It has been developed in the hope to streamline the workflow used to handle medical image data at Simula. It covers image segmentation and mesh optimisation using only software that is freely available and works on any operating system. The software packages used in this tutorial are:
- ITK-SNAP for segmentation of medical images
- Autodesk Meshmixer for optimisation of surface meshes
- FreeCAD for generating solid parts from surface meshes and boolean operations on solid parts
- Gmsh for creating finite element volume meshes suitable for FEniCS
Contents
- Semi-automatic image segmentation
- Clean-up of surface meshes and optimisation
- Conversion of surface meshes to solid parts
- Generation of finite element volume meshes
Owner
- Name: Computational Physiology at Simula Research Laboratory
- Login: ComputationalPhysiology
- Kind: organization
- Location: Fornebu, Norway
- Website: https://computationalphysiology.github.io
- Repositories: 51
- Profile: https://github.com/ComputationalPhysiology
GitHub organization for the computational physiology department at Simula Research Laboratory
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