SlicerBoneReconstructionPlanner | 3D Slicer module for planning mandible reconstruction
kandi X-RAY | SlicerBoneReconstructionPlanner Summary
kandi X-RAY | SlicerBoneReconstructionPlanner Summary
SlicerBoneReconstructionPlanner is a Python library. SlicerBoneReconstructionPlanner has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However SlicerBoneReconstructionPlanner build file is not available. You can download it from GitHub.
Patient-specific guides dramatically improve the success rate and efficiency. 3D printing is revolutionizing reconstructive surgery by making it possible to construct patient-specific guides that are anatomically customized for each patient's need. Unfortunately, this technology is out of reach of most surgeons across the world due to the complexity and costs of existing solutions. The added cost of this technology, per case, is estimated to be around USD 3000 to USD 5000. Our ambition is to disrupt this market by providing an all-in-one cost-efficient and easy-to-use, open-source, and customizable software solution based on 3D Slicer, a free and open-source software package for image analysis and scientific visualization. The successful creation of this technology will enable the development of “patient and site-specific surgical guides”, manufactured through a combination of 3D planning and CAD/CAM. This solution will have the capacity to meet the complex needs of craniofacial reconstruction in a controlled manner. The outcome of the project will be an open-source solution that can make a 3D digital surgical plan that is transferred to the operating room via 3D-printed, patient-specific models, guides, and plates.
Patient-specific guides dramatically improve the success rate and efficiency. 3D printing is revolutionizing reconstructive surgery by making it possible to construct patient-specific guides that are anatomically customized for each patient's need. Unfortunately, this technology is out of reach of most surgeons across the world due to the complexity and costs of existing solutions. The added cost of this technology, per case, is estimated to be around USD 3000 to USD 5000. Our ambition is to disrupt this market by providing an all-in-one cost-efficient and easy-to-use, open-source, and customizable software solution based on 3D Slicer, a free and open-source software package for image analysis and scientific visualization. The successful creation of this technology will enable the development of “patient and site-specific surgical guides”, manufactured through a combination of 3D planning and CAD/CAM. This solution will have the capacity to meet the complex needs of craniofacial reconstruction in a controlled manner. The outcome of the project will be an open-source solution that can make a 3D digital surgical plan that is transferred to the operating room via 3D-printed, patient-specific models, guides, and plates.
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SlicerBoneReconstructionPlanner has a low active ecosystem.
It has 16 star(s) with 5 fork(s). There are 7 watchers for this library.
It had no major release in the last 12 months.
There are 37 open issues and 44 have been closed. On average issues are closed in 73 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of SlicerBoneReconstructionPlanner is TestingData
Quality
SlicerBoneReconstructionPlanner has no bugs reported.
Security
SlicerBoneReconstructionPlanner has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
SlicerBoneReconstructionPlanner is licensed under the BSD-3-Clause License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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SlicerBoneReconstructionPlanner releases are available to install and integrate.
SlicerBoneReconstructionPlanner has no build file. You will be need to create the build yourself to build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed SlicerBoneReconstructionPlanner and discovered the below as its top functions. This is intended to give you an instant insight into SlicerBoneReconstructionPlanner implemented functionality, and help decide if they suit your requirements.
- Event handler for SceneStartCloseClose
- Set default parameters
- Set the parameter node
- Update the GUI from the parameter node
- Called when a plane point is added
- Reorder the MandibleCurve plane
- Returns the parent folder item in the hierarchy
- Retrieves the mandatory folder item ID
- Runs test
- Setup mrml scene
- Register sample data
- Test the bone reconstruction planner
- Update the value of a scalar volume
- Create a list of vtkIds from a folderID
- Called when a node has been removed
- Invoked when a plane is modified
- Show the showBox button on the viewer
- Hide FibulaSegmentsLengths buttons
- Shows the dispatches button to show the visible plane
- Remove Mandibular planes
- Creates the skeletal guides
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SlicerBoneReconstructionPlanner Key Features
No Key Features are available at this moment for SlicerBoneReconstructionPlanner.
SlicerBoneReconstructionPlanner Examples and Code Snippets
No Code Snippets are available at this moment for SlicerBoneReconstructionPlanner.
Community Discussions
No Community Discussions are available at this moment for SlicerBoneReconstructionPlanner.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install SlicerBoneReconstructionPlanner
You can download it from GitHub.
You can use SlicerBoneReconstructionPlanner like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use SlicerBoneReconstructionPlanner like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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