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Vessel axis tracking using topology constrained surface evolution.

Rashindra Manniesing1, Max A Viergever, Wiro J Niessen

  • 1Biomedical Imaging Group Rotterdam, 3015 GE Rotterdam, The Netherlands. r.manniesing@erasmusmc.nl

IEEE Transactions on Medical Imaging
|March 16, 2007
PubMed
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This study presents a novel 3-D vessel axis tracking method using surface evolution guided by skeleton topology analysis. The approach successfully segments complex vascular structures, including challenging internal carotid arteries and bifurcations.

Area of Science:

  • Medical Imaging
  • Computational Anatomy
  • Image Segmentation

Background:

  • Accurate 3-D vessel axis tracking is crucial for diagnosing vascular diseases.
  • Existing methods face challenges with complex vascular topologies and image noise.

Purpose of the Study:

  • To develop and evaluate a novel 3-D vessel axis tracking approach based on surface evolution.
  • To improve the accuracy and robustness of vascular structure segmentation.

Main Methods:

  • A surface evolution technique guided by skeleton topology analysis.
  • Imposing shape constraints on topology to represent vessel segments, bifurcations, or complex structures.
  • Reinitialization of the evolving surface based on the identified topology to enhance segmentation and prevent leakage.

Related Experiment Videos

Main Results:

  • Successfully extracted internal carotid arteries through the skull base in 90% of cases.
  • Segmented carotid bifurcations, including stenosed and calcified cases, in 70% of cases.
  • Demonstrated effective handling of challenging anatomical regions and pathologies.

Conclusions:

  • The proposed surface evolution method with topology analysis offers a robust approach for 3-D vessel axis tracking.
  • The technique shows significant potential for clinical applications in computed tomography angiography (CTA).
  • Reinitialization is a key step for accurate vascular segmentation and reduced background leakage.