TubeTK
From KitwarePublic
Overview
TubeTK is being developed to host algorithms for applications involving images of tubes. By focusing on the geometry of tubes we can accomplish grand challenges in image analysis in a subset of significant cases.
Features of TubeTK
- Centerline vascular segmentation
- Vascular atlas formation
- Vascular network to image registration
- Organ segmentation
- Vascular-ness measures
Applications
- Diagnosis of retinopathy of prematurity
- Analysis of vascular differences within and between populations to identify focal (e.g., stroke) and diffuse (e.g., schizophrenia) diseases.
- Vascular atlas formation
- Radiofrequency ablation guidance via intra-operative registration of pre-op CT with intra-op Ultrasound
- Brain tumor resection guidance via intra-operative registration
- Imaging tumor micro-environments (with UNC BME Dept.)
Technologies
- Vascular pattern analysis is the characterization and comparison of individuals and populations based on "spatial graphs" as representations of vascular networks.
- Sliding organ registration are methods for registering images of multiple organs in which the organs may have shifted, expanded, or compressed independently.
- Intra-operative ultrasound registration is the grand challenge of real-time transcription of pre-operative surgical plans into intra-operative ultrasound images.
Project Links
- Events and meetings
- Image gallery
- Installation and development notes
- View the project's growth at the TubeTK Dashboard
- Documentation for modules and applications
- Data and Publications
- Team members
Funding
The development of TubeTK is being funded, in part, by the following grants
- NIH/NIBIB sponsored "National Alliance of Medical Image Computing" (NA-MIC, PI: Kikinis) project
- 1U54EB005149-01
- http://www.na-mic.org
- DARPA sponsored "Trust in Integrated Circuits" (EXPOSE, PI: Bajura) program
- USC/ISI Team
- http://www.darpa.mil/MTO/Programs/trust/index.html
- NIH/NCI sponsored "Image Registration for Ultrasound-Based Neurosurgical Navigation" (NeuralNav, PI: Aylward, Wells)
- 1R01CA138419-01
- http://public.kitware.com/Wiki/NeuralNav
License
TubeTK is distributed under the Apache 2.0 license. You are free to use, modify, and redistribute TubeTK for non-commercial and commercial uses. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License.