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Blood Flow and Velocity Estimation Based on Vessel Transit Time by Combining 2D and 3D X-Ray Angiography

  • Hrvoje Bogunović
  • Sven Lončarić
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4191)

Abstract

The X-ray imaging equipment could be used to measure hemodynamic function in addition to visualizing the morphology. The parameters of specific interest are arterial blood flow and velocity. Current monoplane X-ray systems can perform 3D reconstruction of the arterial tree as well as to capture the propagation of the injected contrast agent on a sequence of 2D angiograms. We combine the 2D digital subtraction angiography sequence with the mechanically registered 3D volume of the vessel tree. From 3D vessel tree we extract each vessel and obtain its centerline and cross-section area. We get our velocity estimation from 2D sequence by comparing time-density signals measured at different ends of the projected vessel. From the average velocity and cross-section area we get the average blood flow estimate for each vessel. The algorithm described here is applied to datasets from real neuroradiological studies.

Keywords

Contrast Agent Digital Subtraction Angiography Velocity Estimation Vessel Tree Digital Subtraction Angiography Study 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Hrvoje Bogunović
    • 1
  • Sven Lončarić
    • 1
  1. 1.Faculty of Electrical Engineering and ComputingUniversity of ZagrebZagrebCroatia

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