Published April 4, 2025 | Version v0.1.0
Software Open

svVascularize: Initial Release of SVV Package

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

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