TubeTK contains vascular image analysis methods whose development began in 1995 as part of a collaboration between Drs. Stephen Aylward, David Eberly, Steve Pizer, and Elizabeth Bullitt at The University of North Carolina at Chapel Hill [Aylward, 1996].

Under the leadership of Dr. Bullitt (M.D., UNC Department of Surgery, Neurosurgery), the research topics based on our vessel analysis methods expanded to include neurosurgical planning and guidance for the embolization of arterio-venous malformations, resection of glioblastomas, and the treatment of trigeminal neuralgia.  She also directed its application to other intra-operative guidance challenges such as bi-plane angiogram registration for transjugular intra-hepatic portosystemic shunts (TIPS).  Most recently, she directed the expansion of the method base to include vessel tortuosity assessment.  Dr. Aylward has also expanded the method base to include vessel-based registration methods and support vascular atlas research.

In June 2010, UNC released the patents that covered the vascular segmentation and registration methods that are now being offered in TubeTK.
Since the creation of TubeTK, contributions have come from

  • Andinet Enquobaharie for anisotropic diffusion for image enhancement based on the work by Frangi and Med.
  • Stephen Aylward for image enhancement in the presence of a strong prior.
  • Stephen Aylward for segmentation of multi-channel images based on non-parametric models of the intensity distributions.
  • Danielle Pace and Marc Niethammer for the registration of images containing sliding organs.
TubeTK is built upon and contributes back to several open-source efforts, including the Insight Segmentation and Registration Toolkit (ITK), 3D Slicer, the Common Toolkit (CTK), CMake, CDash, and the Midas Platform.