• DocumentCode
    858533
  • Title

    A Framework for Geometric Analysis of Vascular Structures: Application to Cerebral Aneurysms

  • Author

    Piccinelli, Marina ; Veneziani, Alessandro ; Steinman, David A. ; Remuzzi, Andrea ; Antiga, Luca

  • Author_Institution
    Dept. of Math. & Comput. Sci., Emory Univ., Atlanta, GA, USA
  • Volume
    28
  • Issue
    8
  • fYear
    2009
  • Firstpage
    1141
  • Lastpage
    1155
  • Abstract
    There is well-documented evidence that vascular geometry has a major impact in blood flow dynamics and consequently in the development of vascular diseases, like atherosclerosis and cerebral aneurysmal disease. The study of vascular geometry and the identification of geometric features associated with a specific pathological condition can therefore shed light into the mechanisms involved in the pathogenesis and progression of the disease. Although the development of medical imaging technologies is providing increasing amounts of data on the three-dimensional morphology of the in vivo vasculature, robust and objective tools for quantitative analysis of vascular geometry are still lacking. In this paper, we present a framework for the geometric analysis of vascular structures, in particular for the quantification of the geometric relationships between the elements of a vascular network based on the definition of centerlines. The framework is founded upon solid computational geometry criteria, which confer robustness of the analysis with respect to the high variability of in vivo vascular geometry. The techniques presented are readily available as part of the VMTK, an open source framework for image segmentation, geometric characterization, mesh generation and computational hemodynamics specifically developed for the analysis of vascular structures. As part of the Aneurisk project, we present the application of the present framework to the characterization of the geometric relationships between cerebral aneurysms and their parent vasculature.
  • Keywords
    biomedical MRI; blood vessels; computerised tomography; diagnostic radiography; diseases; haemodynamics; image representation; image segmentation; medical image processing; 3D morphology; Aneurisk project; VMTK; atherosclerosis; blood flow dynamics; cerebral aneurysms; computational hemodynamics; geometric analysis; geometric characterization; image segmentation; medical imaging; mesh generation; pathogenesis; vascular diseases; vascular geometry; Aneurysm; Atherosclerosis; Biomedical imaging; Blood flow; Computational geometry; Diseases; Image analysis; Pathogens; Pathology; Robustness; Cerebral aneurysms; geometric quantification; three-dimensional modeling; vascular geometry; Algorithms; Brain; Carotid Artery, Internal; Cerebral Angiography; Humans; Image Interpretation, Computer-Assisted; Image Processing, Computer-Assisted; Intracranial Aneurysm; Middle Cerebral Artery; Models, Cardiovascular;
  • fLanguage
    English
  • Journal_Title
    Medical Imaging, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0062
  • Type

    jour

  • DOI
    10.1109/TMI.2009.2021652
  • Filename
    4915792