TubeTK

Home About Events Image Gallery Data and Publications For Users TubeTK with Slicer TubeTK with ImageJ For Developers The Team Kitware Brigham and Women's Hospital Duke University BrainLAB

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 Centerline vascular segmentation Vascular atlas formation Vascular network to image registration Organ segmentation Vascular-ness measures Multi-modality support Driving Applications NeuralNav: Brain tumor resection guidance via intra-operative registration 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 Quantifying tumor micro-environments (with UNC BME Dept.) Technical Focus 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.