https://github.com/open-vv/popi-model?action=show&redirect=popi
Webpage for popi model
https://github.com/open-vv/popi-model?action=show&redirect=popi
Last synced: 4 months ago
JSON representation
Webpage for popi model
- Host: GitHub
- URL: https://github.com/open-vv/popi-model?action=show&redirect=popi
- Owner: open-vv
- Created: 2021-01-06T14:54:56.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2024-01-16T15:46:58.000Z (over 1 year ago)
- Last Synced: 2024-12-26T07:02:28.815Z (4 months ago)
- Size: 7.07 MB
- Stars: 8
- Watchers: 6
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- awesome-image-registration - POPI
README
# Validation Data for Deformable Image Registration of the Lungs
## Motivation
We believe research on deformable image registration (DIR) of the lungs will greatly benefit from making image and validation data publicly available. Several 4D CT data sets, acquired at the Léon Bérard Cancer Center, can be downloaded here for use in your research. Along with the images, we provide large sets of manually identified landmarks, allowing you to validate your motion estimation.
We welcome all suggestions that can make this data more useful for you. _David Sarrut_, **[david.sarrut[at]creatis.insa-lyon.fr](mailto:[email protected])**
## Data Sets
### DIR Validation Data
This data set includes:
- Six 4D CT data sets
- 100 landmarks in the inhale and exhale frame.
- For 3 patients, landmarks are also available in all intermediate frames.
This data is fully described in
- **J. Vandemeulebroucke, S. Rit, J. Kybic, P. Clarysse, and D. Sarrut.**
_**Spatiotemporal motion estimation for respiratory-correlated imaging of the lungs.**_
**In _Med Phys_, 2011, 38(1), 166-178.** [pdf](https://github.com/open-vv/popi-model/blob/master/Vandemeulebroucke2011.pdf "pdf")
The inhale-exhale image pairs were also used in
- **J. Vandemeulebroucke, O. Bernard, S. Rit, J. Kybic, P. Clarysse, and D. Sarrut.**
_**Automated segmentation of a motion mask to preserve sliding motion in deformable registration of thoracic CT.**_
**In _Med Phys_, 2012, 39(2), 1006-1015.** [pdf](https://github.com/open-vv/popi-model/blob/master/Vandemeulebroucke2012.pdf "pdf")
[Proceed to Download Page](https://github.com/open-vv/popi-model/blob/master/dir_validation_data.md)
### The POPI-model, a Point-validated Pixel-based Breathing Thorax Model
This data set includes:
- One 4D CT data set
- 40 landmarks in all frames.
- The deformation vector fields (DVF) were obtained using two registration methods (expressed in voxel units, so you need to x2 to get in mm).
This data set was originally described in
- **J. Vandemeulebroucke, D. Sarrut, and P. Clarysse**
_**The POPI-model, a point-validated pixel-based breathing thorax model.**_
**In _Proceeding of the XVth ICCR Conference_, Toronto, Canada. 2007**. [pdf](https://github.com/open-vv/popi-model/blob/master/Vandemeulebroucke2007.pdf "pdf")
[Proceed to Download Page](https://github.com/open-vv/popi-model/blob/master/popi-model.md)
## Other Useful Links
- VV, a 4D image viewer can be downloaded from [https://github.com/open-vv/vv](https://github.com/open-vv/vv)
- More inhale-exhale image pairs of the thorax, along with landmarks, can be found on [http://www.dir-lab.com/](http://www.dir-lab.com/)
- More data sets for validation and evaluation in medical image processing can be found on [http://www.vmip.org/](http://www.vmip.org/).