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Ureter tracking and segmentation in CT urography (CTU) using COMPASS.

Lubomir Hadjiiski1, David Zick1, Heang-Ping Chan1

  • 1Department of Radiology, University of Michigan, Ann Arbor, Michigan 48109-5842.

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Summary

A new system called COMPASS significantly improves automated ureter segmentation in CTU scans, aiding in cancer diagnosis. This advanced tool enhances tracking accuracy and efficiency for medical imaging analysis.

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Area of Science:

  • Medical imaging analysis
  • Computational anatomy
  • Urological imaging

Background:

  • Ureter segmentation is crucial for computer-aided diagnosis of ureter cancer.
  • Accurate segmentation aids in identifying lesions and wall thickening.

Purpose of the Study:

  • To develop and evaluate a computerized system for automated ureter segmentation in CTU scans.
  • The system, named COMPASS, aims to improve the accuracy and efficiency of ureter tracking.

Main Methods:

  • COMPASS utilizes a three-stage process: rule-based adaptive thresholding/region growing, path-finding/propagation, and edge profile extraction/feature analysis.
  • The system was tested on 79 CTU scans (124 ureters), with manual centerline marking for reference.
  • Performance was evaluated by segmentation length percentage and centerline distance metrics.

Main Results:

  • COMPASS achieved 97% complete ureter segmentation, significantly outperforming the previous method (69%).
  • The average distance to manual centerlines was 0.54 mm (vs. 0.80 mm previously), and average maximum distance was 2.02 mm (vs. 3.38 mm).
  • Improvements in tracking length and distance measures were statistically significant (p < 0.0001).

Conclusions:

  • COMPASS demonstrates significant improvement in ureter tracking accuracy and completeness.
  • The system effectively segments ureters even with lesions, wall thickening, and lumen narrowing.
  • This advancement supports more reliable computer-aided diagnosis in urological imaging.