If you find TubeTK useful for your work and publications, please include a reference to this website and to
- S. R. Aylward and E. Bullitt, “Initialization, noise, singularities, and scale in height ridge traversal for tubular object centerline extraction,” Medical Imaging, IEEE Transactions on, vol. 21, no. 2, pp. 61–75, 2002.
The development of TubeTK is being funded, in part, by the following grants
- NIH/NCI: "A needle guidance system for hepatic tumor ablation that fuses real-time ultrasound" (PI: Razzaue - InnerOptic)
- NIH/NIBIB: "Image-based quantification and analysis of longitudinal lung nodule detection" (PI: Cahill - RIT and Niethammer - UNC)
- NIH/NIBIB: "In-field FAST procedure support and automation" (Aylward)
- NIH/NINDS: "Multimodality image-based assessment system for traumatic brain injury" (PI: Aylward)
- NIH/NCI: "Micro-tumor detection by quantifying tumor-induced vascular abnormalities" (PI: Dayton - UNC)
- NIH/NCI: "Quantitative ultrasound analysis of vascular morphology for cancer assessment" (PI: Aylward and Dayton - UNC)
- NIH/NIBIB: "National Alliance of Medical Image Computing" (PI: Kikinis - BWH) project
- NIH/NCI: "Image Registration for Ultrasound-Based Neurosurgical Navigation" (PI: Aylward, Wells - BWH)
- DARPA sponsored "Trust in Integrated Circuits" (EXPOSE, PI: Bajura) program
- TubeTK is distributed under the Apache 2.0 license.
- You are free to use, modify, and redistribute TubeTK for non-commercial and commercial uses.
TubeTK is builds upon and contributes back to a variety of open-source efforts, including the following: