The International Journal of Cardiac Imaging

, Volume 16, Issue 5, pp 315–330 | Cite as

A system for determination of 3D vessel tree centerlines from biplane images

  • Kenneth R. Hoffmann
  • Anindya Sen
  • Li Lan
  • Kok-Gee Chua
  • Jacqueline Esthappan
  • Marco Mazzucco

Abstract

With the increasing number and complexity of therapeutic coronary interventions, there is an increasing need for accurate quantitative measurements. These interventions and measurements may be facilitated by accurate and reproducible magnifications and orientations of the vessel structures, specifically by accurate 3D vascular tree centerlines. A number of methods have been proposed to calculate 3D vascular tree centerlines from biplane images. In general, the calculated magnifications and orientations are accurate to within approximately 1–3% and 2–5°, respectively. Here, we present a complete system for determination of the 3D vessel centerlines from biplane angiograms without the use of a calibration object. Subsequent to indication of the vessel centerlines, the imaging geometry and 3D centerlines are calculated automatically and within approximately 2 min. The system was evaluated in terms of the intra- and inter-user variations of the various calculated quantities. The reproducibilities obtained with this system are comparable to or better than the accuracies and reproducibilities quoted for other proposed methods. Based on these results and those reported in earlier studies, we believe that this system will provide accurate and reproducible vascular tree centerlines from biplane images while the patient is still on the table, and thereby will facilitate interventions and associated quantitative analyses of the vasculature.

biplane angiography three-dimensional vascular analysis 

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Copyright information

© Kluwer Academic Publishers 2000

Authors and Affiliations

  • Kenneth R. Hoffmann
    • 1
  • Anindya Sen
    • 2
  • Li Lan
    • 3
  • Kok-Gee Chua
    • 4
  • Jacqueline Esthappan
    • 3
  • Marco Mazzucco
    • 5
  1. 1.Toshiba Stroke Research Center, Department of NeurosurgerySUNY at BuffaloBuffaloUSA
  2. 2.Bio-Imaging ResearchChicagoUSA
  3. 3.Kurt Rossmann Laboratories for Radiologic Image Research, Department of RadiologyThe University of ChicagoChicagoUSA
  4. 4.Fox Valley Cardiovascular ConsultantsAuroraUSA
  5. 5.Department of MathematicsUniversity of Illinois in ChicagoChicagoUSA

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