• DocumentCode
    846445
  • Title

    Three-Dimensional Blood Vessel Quantification via Centerline Deformation

  • Author

    Kang, Dong-Goo ; Suh, Dae Chul ; Ra, Jong Beom

  • Author_Institution
    Multimedia Lab., Samsung Adv. Inst. of Technol., Suwon
  • Volume
    28
  • Issue
    3
  • fYear
    2009
  • fDate
    3/1/2009 12:00:00 AM
  • Firstpage
    405
  • Lastpage
    414
  • Abstract
    It is clinically important to quantify the geometric parameters of an abnormal vessel, as this information can aid radiologists in choosing appropriate treatments or apparatuses. Centerline and cross-sectional diameters are commonly used to characterize the morphology of vessel in various clinical applications. Due to the existence of stenosis or aneurysm, the associated vessel centerline is unable to truly portray the original, healthy vessel shape and may result in inaccurate quantitative measurement. To remedy such a problem, a novel method using an active tube model is proposed. In the method, a smoothened centerline is determined as the axis of a deformable tube model that is registered onto the vessel lumen. Three types of regions, normal, stenotic, and aneurysmal regions, are defined to classify the vessel segment under-analyzed by use of the algorithm of a cross-sectional-based distance field. The registration process used on the tube model is governed by different region-adaptive energy functionals associated with the classified vessel regions. The proposed algorithm is validated on the 3-D computer-generated phantoms and 3-D rotational digital subtraction angiography (DSA) datasets. Experimental results show that the deformed centerline provides better vessel quantification results compared with the original centerline. It is also shown that the registered model is useful for measuring the volume of aneurysmal regions.
  • Keywords
    adaptive signal processing; biomechanics; blood vessels; diagnostic radiography; diseases; image classification; image registration; medical image processing; phantoms; smoothing methods; 3D computer-generated phantoms; 3D rotational digital subtraction angiography; DSA datasets; active tube model; aneurysmal regions; centerline deformation; centerline smoothing; cross-sectional diameters; cross-sectional-based distance field algorithm; deformable tube model; geometric parameters; region-adaptive energy functionals; three-dimensional blood vessel quantification; vessel lumen registration; vessel morphology; vessel segment classification; Aneurysm; Biomedical imaging; Blood vessels; Deformable models; Geophysics computing; Image segmentation; Imaging phantoms; Length measurement; Morphology; Shape measurement; Centerline deformation; complementary geodesic distance field; model-based quantification; region-based active tube model; Algorithms; Aneurysm; Blood Vessels; Constriction, Pathologic; Elasticity; Humans; Image Enhancement; Imaging, Three-Dimensional; Phantoms, Imaging; Reproducibility of Results;
  • fLanguage
    English
  • Journal_Title
    Medical Imaging, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0062
  • Type

    jour

  • DOI
    10.1109/TMI.2008.2004651
  • Filename
    4608729