Automatic segmentation of vertebral arteries in CT angiography using combined circular and cylindrical model fitting

Min Jin Lee; Helen Hong; Jin Wook Chung

doi:10.1117/12.2043877

21 March 2014 Automatic segmentation of vertebral arteries in CT angiography using combined circular and cylindrical model fitting

Min Jin Lee, Helen Hong, Jin Wook Chung

Author Affiliations +

Proceedings Volume 9034, Medical Imaging 2014: Image Processing; 90344A (2014) https://doi.org/10.1117/12.2043877
Event: SPIE Medical Imaging, 2014, San Diego, California, United States

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.

Citation Download Citation

Min Jin Lee, Helen Hong, and Jin Wook Chung "Automatic segmentation of vertebral arteries in CT angiography using combined circular and cylindrical model fitting", Proc. SPIE 9034, Medical Imaging 2014: Image Processing, 90344A (21 March 2014); https://doi.org/10.1117/12.2043877

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