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Vessel tree tracking in angiographic sequences.

Dong Zhang1, Shanhui Sun1, Ziyan Wu2

  • 1Siemens Healthcare, Medical Imaging Technologies, Princeton, New Jersey, United States.

Journal of Medical Imaging (Bellingham, Wash.)
|April 18, 2017
PubMed
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We developed a novel method for tracking blood vessels in X-ray fluoroscopy angiography. This approach accurately identifies vessel correspondences across frames, improving computer-aided clinical applications.

Area of Science:

  • Medical Imaging
  • Biomedical Engineering
  • Computer Vision

Background:

  • Accurate tracking of contrast-filled vessels in 2-D X-ray fluoroscopy is crucial for clinical applications.
  • Challenges include cardiac/breathing motion, foreshortening, and projection artifacts.

Purpose of the Study:

  • To present a robust method for vessel tree tracking in angiography.
  • To improve computer-aided clinical applications like segmentation and 3D reconstruction.

Main Methods:

  • Vessel trees represented by BSpline curves; control points serve as landmarks.
  • A directed acyclic graph (DAG) models appearance and shape structure.
  • Dynamic programming solves the tree matching problem for correspondence finding.
Keywords:
angiographycoronary tree trackingvessel tree tracking

Related Experiment Videos

Main Results:

  • Evaluated on 62 X-ray angiography sequences (>1000 frames).
  • Demonstrated robustness against motion, foreshortening, and occlusion.
  • Outperformed four existing vessel tracking methods.

Conclusions:

  • The proposed method effectively tracks vessel trees in challenging angiography sequences.
  • Enhances accuracy and robustness for computer-aided clinical analysis.
  • Offers a valuable tool for understanding cardiac motion and vessel structures.