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Automatic Segmentation of Vertebral Arteries in Head and Neck CT Angiography Images
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 Title & Authors
Automatic Segmentation of Vertebral Arteries in Head and Neck CT Angiography Images
Lee, Min Jin; Hong, Helen;
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 Abstract
We propose an automatic vessel segmentation method of vertebral arteries in CT angiography using combined circular and cylindrical model fitting. First, to generate multi-segmented volumes, whole volume is automatically divided into four segments by anatomical properties of bone structures along z-axis of head and neck. To define an optimal volume circumscribing vertebral arteries, anterior-posterior bounding and side boundaries are defined as initial extracted vessel region. Second, the initial vessel candidates are tracked using circular model fitting. Since boundaries of the vertebral arteries are ambiguous in case the arteries pass through the transverse foramen in the cervical vertebra, the circle model is extended along z-axis to cylinder model for considering additional vessel information of neighboring slices. Finally, the boundaries of the vertebral arteries are detected using graph-cut optimization. From the experiments, the proposed method provides accurate results without bone artifacts and eroded vessels in the cervical vertebra.
 Keywords
Computed tomography angiography;Vertebral artery;Vessel segmentation;Vessel tracking;
 Language
English
 Cited by
 References
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