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Tracking of LV Endocardial Surface on Real-Time Three-Dimensional Ultrasound with Optical Flow

  • Qi Duan
  • Elsa D. Angelini
  • Susan L. Herz
  • Olivier Gerard
  • Pascal Allain
  • Christopher M. Ingrassia
  • Kevin D. Costa
  • Jeffrey W. Holmes
  • Shunichi Homma
  • Andrew F. Laine
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3504)

Abstract

Matrix-phased array transducers for real-time three-dimensional ultrasound enable fast, non-invasive visualization of cardiac ventricles. Segmentation of 3D ultrasound is typically performed at end diastole and end systole with challenges for automation of the process and propagation of segmentation in time. In this context, given the position of the endocardial surface at certain instants in the cardiac cycle, automated tracking of the surface over the remaining time frames could reduce the workload of cardiologists and optimize analysis of volume ultrasound data. In this paper, we applied optical flow to track the endocardial surface between frames of reference, segmented via manual tracing or manual editing of the output from a deformable model. To evaluate optical-flow tracking of the endocardium, quantitative comparison of ventricular geometry and dynamic cardiac function are reported on two open-chest dog data sets and a clinical data set. Results showed excellent agreement between optical flow tracking and segmented surfaces at reference frames, suggesting that optical flow can provide dynamic “interpolation” of a segmented endocardial surface.

Keywords

Root Mean Square Error Optical Flow Deformable Model Endocardial Surface Ventricular Geometry 
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 2005

Authors and Affiliations

  • Qi Duan
    • 1
  • Elsa D. Angelini
    • 2
  • Susan L. Herz
    • 1
  • Olivier Gerard
    • 3
  • Pascal Allain
    • 3
  • Christopher M. Ingrassia
    • 1
  • Kevin D. Costa
    • 1
  • Jeffrey W. Holmes
    • 1
  • Shunichi Homma
    • 1
  • Andrew F. Laine
    • 1
  1. 1.Columbia UniversityNew YorkUSA
  2. 2.Ecole Nationale Supérieure des TélécommunicationsParisFrance
  3. 3.Philips Medical Systems Research ParisSuresnesFrance

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