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Level Set Segmentation of the Fetal Heart

  • I. Dindoyal
  • T. Lambrou
  • J. Deng
  • C. F. Ruff
  • A. D. Linney
  • C. H. Rodeck
  • A. Todd-Pokropek
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3504)

Abstract

Segmentation of the fetal heart can facilitate the 3D assessment of the cardiac function and structure. Ultrasound acquisition typically results in drop-out artifacts of the chamber walls. This paper presents a level set deformable model to simultaneously segment all four cardiac chambers using region based information. The segmented boundaries are automatically penalized from intersecting at walls with signal dropout. Root mean square errors of the perpendicular distances between the algorithm’s delineation and manual tracings are within 7 pixels (<2mm) in 2D and under 3 voxels (<4.5mm) in 3D. The ejection fraction was determined from the 3D dataset. Future work will include further testing on additional datasets and validation on a phantom.

Keywords

Fetal Heart Deformable Model Active Contour Model Gradient Vector Flow Signal Dropout 
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

  • I. Dindoyal
    • 1
  • T. Lambrou
    • 1
  • J. Deng
    • 1
    • 2
  • C. F. Ruff
    • 3
  • A. D. Linney
    • 1
  • C. H. Rodeck
    • 2
  • A. Todd-Pokropek
    • 1
  1. 1.Departments of Medical Physics and Bioengineering 
  2. 2.Obstetrics and GynecologyUniversity College London (UCL) 
  3. 3.UCL Hospitals NHS Trust (UCLH)UK

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