• DocumentCode
    2153135
  • Title

    Three-dimensional model-based stenosis quantification of the carotid arteries from contrast-enhanced MR angiography

  • Author

    Frangi, Alejandro F. ; Niessen, Wiro J. ; Nederkoorn, Paul J. ; Elgersma, Otto E H ; Viergever, Max A.

  • Author_Institution
    Image Sci. Inst., Utrecht Univ. Med. Center, Utrecht, Netherlands
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    110
  • Lastpage
    118
  • Abstract
    A model-based technique for quantitative analysis of three-dimensional magnetic resonance angiography (MRA) is presented. The model consists of a deformable B-spline representation of the central vessel axis and the vessel wall. An efficient interaction mechanism to initialize the models in a three-dimensional setting is devised. Two novel image features are introduced in order to deform the central vessel axis and the vessel wall model respectively. A segmental optimization scheme for deforming the B-spline vessel wall model is introduced. Finally, the paper presents results on clinical contrast enhanced (CE) MRA of 19 carotid arteries. Percentages of stenosis obtained with the authors´ technique are compared to those of two experts using caliper measurements on Maximum Intensity Projection (MIP) CE MRA, and Digital Subtraction Angiography (DSA) as standard of reference
  • Keywords
    biomedical MRI; blood vessels; image enhancement; medical image processing; optimisation; physiological models; splines (mathematics); caliper measurements; carotid arteries; central vessel axis; contrast-enhanced MR angiography; deformable B-spline representation; digital subtraction angiography; efficient interaction mechanism; image features; maximum intensity projection; medical diagnostic imaging; model-based technique; segmental optimization scheme; three-dimensional model-based stenosis quantification; vessel wall; vessel wall model; Angiography; Biomedical imaging; Carotid arteries; Deformable models; Image reconstruction; Image segmentation; Magnetic resonance; Medical treatment; Spline; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mathematical Methods in Biomedical Image Analysis, 2000. Proceedings. IEEE Workshop on
  • Conference_Location
    Hilton Head Island, SC
  • Print_ISBN
    0-7695-0737-9
  • Type

    conf

  • DOI
    10.1109/MMBIA.2000.852367
  • Filename
    852367