https://github.com/kitwaremedical/vpaw
A surgical planning software system targeted to pediatric patients with airway obstruction.
https://github.com/kitwaremedical/vpaw
3d-slicer-custom-application
Last synced: 11 months ago
JSON representation
A surgical planning software system targeted to pediatric patients with airway obstruction.
- Host: GitHub
- URL: https://github.com/kitwaremedical/vpaw
- Owner: KitwareMedical
- License: other
- Created: 2021-01-19T10:15:23.000Z (over 5 years ago)
- Default Branch: main
- Last Pushed: 2024-06-12T14:36:37.000Z (about 2 years ago)
- Last Synced: 2025-07-14T14:39:57.401Z (11 months ago)
- Topics: 3d-slicer-custom-application
- Language: Python
- Homepage: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5588666/
- Size: 3.52 MB
- Stars: 3
- Watchers: 11
- Forks: 5
- Open Issues: 15
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
Awesome Lists containing this project
README
# VPAW by Kitware, Inc.
A Virtual Pediatric Airways Workbench (VPAW) is a patient-centered surgical
planning software system targeted to pediatric patients with airway obstruction.
It aims to enable a full surgical planning pipeline for the evaluation of
surgical outcomes. See [Features](#Features) for more details.
This project contains the new generation of VPAW based on
[3D Slicer](https://www.slicer.org/) and it was created using the
[Slicer Custom App Template](https://github.com/KitwareMedical/SlicerCustomAppTemplate).
_This project is in active development and may change from version to version
without notice._
## Features
The project is being actively developed and our plan is to implement the
following functionalities to enable users to express potential surgical
treatment planning options for patients with airway obstruction.
A typical workflow will consist of the following steps:
- Importing computed tomography (CT) DICOM images
- Segmenting the airway (as described by _Hong et al_ [^1])
- Interactive 3D editing of airway geometries leveraging integration of 3D
pointing devices such as
[3D Systems Touch](https://www.3dsystems.com/haptics-devices/touch) through
the OpenHaptics interface
- Creating input files for offline geometric analysis and Computational fluid
dynamics (CFD) simulations
[^1]:
See section 2.1 of Hong Y, Niethammer M, Andruejol J, Kimbell JS, Pitkin E,
Superfine R, Davis S, Zdanski CJ, Davis B. A pediatric airway atlas and its
application in subglottic stenosis. Proc IEEE Int Symp Biomed Imaging. 2013
Apr;2013:1206-1209. doi:
[10.1109/ISBI.2013.6556697](https://dx.doi.org/10.1109/ISBI.2013.6556697).
PMID: [26929791](https://pubmed.ncbi.nlm.nih.gov/26929791/); PMCID:
[PMC4769591](http://www.ncbi.nlm.nih.gov/pmc/articles/pmc4769591/).
## Usage
This application is under development but can already be used to process and
visualize CT scans if you have access to the private
[pediatric_airway_atlas](https://github.com/uncbiag/pediatric_airway_atlas)
research repository.
[A guided tour can be found here.](doc/tour_VPAWModel_VPAWVisualize.md)
## Maintainers
- [Contributing](CONTRIBUTING.md)
- [Building](BUILD.md)
## History
The initial version of this project was developed between 2010 and 2015 in the
context of supporting predictive modeling for treatment of upper airway
obstruction in young children, the project as well as the team involved are
respectively described and acknowledged in the [referenced](#how-to-cite)
publication.
In 2022, the development of the next generation of VPAW based on
[3D Slicer](https://www.slicer.org) was initiated.
## Acknowledgment
We gratefully acknowledge support from National Heart, Lung, and Blood Institute
(NIH/NHLBI grant nos: 5R01HL105241 and 5R01HL154429), and National Health
Institute of Dental and Craniofacial Research (NIH/NHIDC grant no: R43DE024334).
## License
This software is licensed under the terms of the
[Apache License Version 2.0](LICENSE).
## How to cite ?
Quammen CW, Taylor RM 2nd, Krajcevski P, Mitran S, Enquobahrie A, Superfine R,
Davis B, Davis S, Zdanski C. The Virtual Pediatric Airways Workbench. Stud
Health Technol Inform. 2016;220:295-300. PMID:
[27046595](https://pubmed.ncbi.nlm.nih.gov/27046595/); PMCID:
[PMC5588666](http://www.ncbi.nlm.nih.gov/pmc/articles/pmc5588666/).
