TubeTK: Difference between revisions

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* Radiofrequency ablation guidance via intra-operative registration of pre-op CT with intra-op Ultrasound
* Radiofrequency ablation guidance via intra-operative registration of pre-op CT with intra-op Ultrasound
* [[TubeTK/Tumor Micro Environments | Quantifying tumor micro-environments (with UNC BME Dept.)]]
* [[TubeTK/Tumor Micro Environments | Quantifying tumor micro-environments (with UNC BME Dept.)]]
* [[Ultrasound Painting of Vascular Tree |http://www.ii.uib.no/vis/publications/publication/2010/birkeland10USpainting]]


== Technical Focus ==
== Technical Focus ==

Revision as of 13:42, 11 August 2011

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Overview

TubeTK is being developed to host algorithms for applications involving images of tubes. By focusing on the geometry of tubes we can accomplish many of the grand challenges in medical image analysis for a wide range significant cases, e.g., disease detection, diagnosis, treatment guidance, and monitoring using vascular features.

Features

  • Centerline vascular segmentation
  • Vascular atlas formation
  • Vascular network to image registration
  • Organ segmentation
  • Vascular-ness measures
  • Multi-modality support

Driving Applications

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.