Reconstruction of complex vascular structures from ct data

We present a method to recover the geometrical structure of vessels from CT data. It exploits several image processing algorithms each one customized for the recover of a particular object (vessel lumen, vessel walls, calcified plaques and vascular skeleton). Each method is selected due to peculiar appearance of the related structure in the voxeled volume, and a dedicated tool has been developed to enable the user to perform easily each segmentation task, inspecting the quality of the result and modifying parameters or geometries if necessary. The tool has been successfully applied to build 3D models of the abdominal aorta, useful to support diagnosis and endovascular treatment of Abdominal Aortic Aneurysms.

@InProceedings{GZ04c,
  author       = {Giachetti, A. and Zanetti, G.},
  title        = {Reconstruction of complex vascular structures from ct data},
  booktitle    = {Proc. ICMMB 2004},
  volume       = {1},
  year         = {2004},
  editor       = {ICMMB},
  note         = {Proceedings 14th International Conference on Mechanics in Medicine and Biology, held in Bologna, Italy, September 16-18, 2004url: idxproject: AQUATICS},
  keywords     = {Vessel, 3D model, segmentation, CT},
  url          = {https://publications.crs4.it/pubdocs/2004/GZ04c},
}