SlicerHeart
Tools for cardiac image import (3D/4D ultrasound, CT, MRI), quantification, surgical planning, and implant placement planning and assessment.
Find out more
Tools for cardiac image import (3D/4D ultrasound, CT, MRI), quantification, surgical planning, and implant placement planning and assessment.
Find out moreSlicerHeart provides open-source 3D image processing capabilities to aid research and treatment in cardiovascular medicine, especially congenital heart disease. Its features enhance 3D visualization and quantitative analysis of cardiac images.
1. Download and install 3D Slicer (link below)
2. Start Slicer and open Extension manager
3. Install SlicerHeart extension (in Cardiac category)
a. click Yes to install all dependencies
4. Restart Slicer and you are good to go!If you utilized SlicerHeart, please cite the following paper when referring to SlicerHeart in your publication.
Lasso, A., Herz, C., Nam, H., Cianciulli, A., Pieper, S., Drouin, S., Pinter, C., St-Onge, S., Vigil, C., Ching, S., Sunderland, K., Fichtinger, G., Kikinis, R., & Jolley, M. A. (2022). "SlicerHeart: An open-source computing platform for cardiac image analysis and modeling." Frontiers in Cardiovascular Medicine, 9. https://doi.org/10.3389/fcvm.2022.886549
URL: https://www.frontiersin.org/articles/10.3389/fcvm.2022.886549
@ARTICLE{Lasso2022,
title = "{SlicerHeart}: An open-source computing platform for cardiac
image analysis and modeling",
author = "Lasso, Andras and Herz, Christian and Nam, Hannah and
Cianciulli, Alana and Pieper, Steve and Drouin, Simon and
Pinter, Csaba and St-Onge, Samuelle and Vigil, Chad and Ching,
Stephen and Sunderland, Kyle and Fichtinger, Gabor and Kikinis,
Ron and Jolley, Matthew A",
journal = "Frontiers in Cardiovascular Medicine",
publisher = "Frontiers Media SA",
volume = 9,
month = sep,
year = 2022,
copyright = "https://creativecommons.org/licenses/by/4.0/"
}
This work was partially supported by:
- Department of Anesthesia and Critical Care at The Children’s Hospital of Philadelphia (CHOP)