Automated Anatomy-Based Tracking of Systemic Arteries in Arbitrary Field-of-View CTA Scans

We propose an automated pipeline for vessel centerline extraction in 3-D computed tomography angiography (CTA) scans with arbitrary fields of view. The principal steps of the pipeline are body part detection, candidate seed selection, segment tracking, which includes centerline extraction, and vesse...

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Bibliographic Details
Published in:IEEE transactions on medical imaging 2017-06, Vol.36 (6), p.1359-1371
Main Authors: Novikov, Alexey A., Major, David, Wimmer, Maria, Sluiter, Gert, Buhler, Katja
Format: Article
Language:English
Subjects:
Algorithm design and analysis
Algorithms
Anatomy
Angiography
Arteries
Automation
Blood vessels
centerline extraction
Computed tomography
Coronary Angiography
Extraction
Feature extraction
Field of view
Leg
multiple body parts
Neck
Pipelines
Radiographic Image Interpretation, Computer-Assisted
Radionuclide Imaging
Regression
Reproducibility of Results
systemic arteries
Three-dimensional displays
Tomography, X-Ray Computed
Tracking
Trees
Vessel tracking
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Summary:We propose an automated pipeline for vessel centerline extraction in 3-D computed tomography angiography (CTA) scans with arbitrary fields of view. The principal steps of the pipeline are body part detection, candidate seed selection, segment tracking, which includes centerline extraction, and vessel tree growing. The final tree-growing step can be instantiated in either a semi- or fully automated fashion. The fully automated initialization is carried out using a vessel position regression algorithm. Both semi-and fully automated methods were evaluated on 30 CTA scans comprising neck, abdominal, and leg arteries in multiple fields of view. High detection rates and centerline accuracy values for 38 distinct vessels demonstrate the effectiveness of our approach.
ISSN:0278-0062
1558-254X
DOI:10.1109/TMI.2017.2679981