Doppler-based 3D Blood Flow Imaging and Visualization

Information

• Publication Type: Conference Paper
• Workgroup(s)/Project(s):
  • Visual Computing: Illustrative Visualization
• Date: May 2013
• ISBN: 978-80-223-3377-1
• Publisher: ACM Publishing House
• Location: Smolenice, Slovak Republic
• Lecturer: Åsmund Birkeland
• Booktitle: SCCG 2013 - 29th Proceedings Spring conference on Computer Graphics
• Conference date: 1. May 2013 – 3. May 2013
• Pages: 128 – 135
• Keywords: Medical Visualization, Biomedical

Abstract

Blood flow is a very important part of human physiology. In this paper, we present a new method for estimating and visualizing 3D blood flow on-the-fly based on Doppler ultrasound. We add semantic information about the geometry of the blood vessels in order to recreate the actual velocities of the blood. Assuming a laminar flow, the flow direction is related to the general direction of the vessel. Based on the center line of the vessel, we create a vector field representing the direction of the vessel at any given point. The actual flow velocity is then estimated from the Doppler ultrasound signal by back-projecting the velocity in the measured direction, onto the vessel direction. Additionally, we estimate the flux at user-selected cross-sections of the vessel by integrating the velocities over the area of the cross-section.

In order to visualize the flow and the flux, we propose a visualization design based on traced particles colored by the flux. The velocities are visualized by animating particles in the flow field. Further, we propose a novel particle velocity legend as a means for the user to estimate the numerical value of the current velocity. Finally, we perform an evaluation of the technique where the accuracy of the velocity estimation is measured using a 4D MRI dataset as a basis for the ground truth.

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BibTeX

@inproceedings{Viola_Ivan_2013_D3D,
  title =      "Doppler-based 3D Blood Flow Imaging and Visualization",
  author =     "{\AA}smund Birkeland and Dag Magne Ulvang  and Kim Nylund
               and Trygve Hausken and Odd Helge Gilja and Ivan Viola",
  year =       "2013",
  abstract =   "Blood flow is a very important part of human physiology. In
               this paper, we present a new method for estimating and
               visualizing 3D blood flow on-the-fly based on Doppler
               ultrasound. We add semantic information about the geometry
               of the blood vessels in order to recreate the actual
               velocities of the blood. Assuming a laminar flow, the flow
               direction is related to the general direction of the vessel.
               Based on the center line of the vessel, we create a vector
               field representing the direction of the vessel at any given
               point. The actual flow velocity is then estimated from the
               Doppler ultrasound signal by back-projecting the velocity in
               the measured direction, onto the vessel direction.
               Additionally, we estimate the flux at user-selected
               cross-sections of the vessel by integrating the velocities
               over the area of the cross-section.  In order to visualize
               the flow and the flux, we propose a visualization design
               based on traced particles colored by the flux. The
               velocities are visualized by animating particles in the flow
               field. Further, we propose a novel particle velocity legend
               as a means for the user to estimate the numerical value of
               the current velocity. Finally, we perform an evaluation of
               the technique where the accuracy of the velocity estimation
               is measured using a 4D MRI dataset as a basis for the ground
               truth.",
  month =      may,
  isbn =       "978-80-223-3377-1",
  publisher =  "ACM Publishing House",
  location =   "Smolenice, Slovak Republic",
  booktitle =  "SCCG 2013 - 29th Proceedings Spring conference on Computer
               Graphics",
  pages =      "128--135",
  keywords =   "Medical Visualization, Biomedical",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_D3D/",
}