Computer Vision And Pattern Analysis Laboratory Home Page  Home
People  People
Publications  Publications
Publications  Databases
Contact Information  Contact
Supported Research Projects  Supported Research Projects
Research Activites  Research Activites
Research Groups
SPIS - Signal Processing and Information Systems Lab.SPIS - Signal Processing and Information Systems Lab.
Medical Vision and Analysis Group  Medical Research Activities
Biometrics Research Group  Biometrics Research Group
SPIS - Signal Processing and Information Systems Lab.MISAM - Machine Intelligence for Speech Audio and Multimedia.
Knowledge Base
  Paper Library
Vessel tractography using an intensity based tensor model
Authors: Suheyla Cetin, Gozde Unal, Ali Demir, Anthony Joseph Yezzi, Muzaff er Degertekin
Published in: MICCAI2001, CVII2011
Publication year: 2011
Abstract: In this paper, we propose a novel tubular structure segmentation method, which is based on an intensity-based tensor that fits to a vessel. Our model is initialized with a single seed point and it is capable of capturing whole vessel tree by an automatic branch detection algorithm. The centerline of the vessel as well as its thickness is extracted. We demonstrated the performance of our algorithm on 3 complex contrast varying tubular structured synthetic datasets for quantitative validation. Additionally, extracted arteries from 10 CTA (Computed Tomography Angiography) volumes are qualitatively evaluated by a cardiologist expert's visual scores.
  download full paper

Home Back