Published April 4, 2025
| Version v0.1.0
Software
Open
svVascularize: Initial Release of SVV Package
Creators
-
Sexton, Zachary A.
(Researcher)1
-
Rütsche, Dominic
(Researcher)1
-
Herrmann, Jessica E.
(Researcher)
-
Hudson, Andrew R.
(Researcher)2
-
Sinha, Soham
(Researcher)1
-
Du, Jianyi
(Researcher)1
-
Shiwarski, Daniel J.
(Researcher)2
-
Masaltseva, Anastasiia
(Researcher)1
- Solberg, Fredrik Samdal (Researcher)1
-
Pham, Jonathan
(Researcher)1
-
Szafron, Jason M.
(Researcher)1
-
Wu, Sean M.
(Supervisor)1
-
Feinberg, Adam W.
(Supervisor)2
-
Skylar-Scott, Mark A.
(Supervisor)1
-
Marsden, Alison L.
(Supervisor)1
Description
This inital package allows for users to create synthetic vascular tree and forest objects within arbirary geometric domains of interest. This release also has beta support for downloading and installing 0D, 1D, and 3D CFD solvers during building of the installation wheels (support for windows is still in early development). installers for the separate solvers can also be found on thier individual GitHub pages for svZeroDSolver, svOneDSolver, and svMulitPhysics under the Simvascular organization.
Initial python 3.9-3.12 support for windows, linux, and macOS are uploaded to PyPi for the core package utilities (w/o solvers) that can be pip installed pip install svv
.
Files
zasexton/svVascularize-v0.1.0.zip
Files
(3.8 MB)
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Additional details
Related works
- Is supplement to
- Software: https://github.com/zasexton/svVascularize/tree/v0.1.0 (URL)
Funding
- U.S. National Science Foundation
- Graduate Research Fellowship Program DGE-1656518
- National Institutes of Health
- Ruth L. Kirschstein Institutional National Research Service Award T32HL166155
- Swiss National Science Foundation
- Co-integrating lymphatic and blood vasculature to improve the function and maturation of 3D bioprinted cardiac tissues 214204
- National Institutes of Health
- SCH: INT: A Virtual Surgery Simulator to Accelerate Medical Training in Cardiovascular Disease R01EB029362- 04
- U.S. National Science Foundation
- Collaborative Research: RECODE: Directing and Controlling Cardiac Differentiation Through Cellular and Microenvironmental Manipulation and Application of Machine-Learning 2134897
- Breakthrough T1D
- Grant 2-SRA-2021-1024-S-B
- National Institutes of Health
- Trillion cell culture to fuel organ biofabrication DP2HL168563
- National Institutes of Health
- Comprehensive CT Guided Coronary Artery Bypass Graft Surgery 5R01HL141712- 05
- U.S. National Science Foundation
- SI2-SSI Collaborative Research: The SimCardio Open Source Multi-Physics Cardiac Modeling Package 1663671
- National Institutes of Health
- HEART: Health Enabling Advancements through Regenerative Tissue Printing AY1AX000002
- National Institutes of Health
- S10 Shared Instrumentation Grant 1S10OD02349701
Software
- Repository URL
- https://github.com/zasexton/svVascularize
- Programming language
- Python, Cython, C++
- Development Status
- Active