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Related Experiment Videos

Automatic vessel segmentation using active contours in cine phase contrast flow measurements.

S Kozerke1, R Botnar, S Oyre

  • 1Institute of Biomedical Engineering and Medical Informatics, University of Zurich and Swiss Federal Institute of Technology, Switzerland.

Journal of Magnetic Resonance Imaging : JMRI
|July 10, 1999
PubMed
Summary

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A new automatic method accurately segments vessel boundaries in cine magnetic resonance (MR) phase contrast velocity mapping images. This overcomes limitations of manual segmentation, enabling reliable clinical flow quantification.

Area of Science:

  • Medical Imaging
  • Cardiovascular Flow Dynamics
  • Image Processing

Background:

  • Manual segmentation of cine MR phase contrast velocity mapping is time-consuming and observer-dependent.
  • This hinders clinical application of flow quantification.
  • A fully automatic segmentation method is needed to improve efficiency and reproducibility.

Purpose of the Study:

  • To develop and evaluate a fully automatic segmentation method for vessel boundaries in cine MR phase contrast velocity mapping.
  • To improve the accuracy and efficiency of flow quantification in clinical settings.
  • To address image distortions and improve robustness of segmentation algorithms.

Main Methods:

  • Developed a fully automatic segmentation method using active contour model algorithms.

Related Experiment Videos

  • Incorporated phase images alongside magnitude images to correct for distortions.
  • Modified the active contour model definition to handle missing or spurious edge information.

    • Main Results:

    • Phantom experiments showed 0.8% error in luminal area assessment.
    • In vivo evaluation on gradient echo (FFE) images yielded a mean difference of -0.9 +/- 3% in volume flow rates compared to manual segmentation.
    • In vivo evaluation on hybrid phase contrast (TFEPI) images showed a mean difference of -0.9 +/- 6%.

    Conclusions:

    • The developed automatic segmentation method is accurate and robust for cine MR phase contrast velocity mapping.
    • This method facilitates reliable and efficient clinical flow quantification.
    • The approach effectively handles image distortions and improves vessel boundary detection.