Abstract
This paper develops new concept of validating centerline extraction method of coronary arteries. The approach is based on the gradient vector flow (GVF) filed of the 3D segmented coronary arteries models. It is implemented with the Gaussian based speed image. The approach was validated over 3 three-dimensional synthetic vessel models and further tested in 3 clinical coronary arteries models reconstructed from computed tomography coronary angiography (CTCA) in human patients. The results showed an excellent agreement between the proposed method and ground truth centerline in synthetic vessel models. Second, the proposed method was applicable in both left coronary arteries and right coronary arteries with average processing time of 25.7 min per case. In conclusion, the proposed gradient vector flow field and fast marching based method should have more routine clinical applicability.
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Acknowledgments
The study was supported in part by the National Natural Science Foundation of China under Grants 61471297 and 61771397. We are very grateful to the National Heart Centre Singapore for the DICOM datasets.
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Cui, H., Xia, Y. (2017). Gradient Vector Flow Field and Fast Marching Based Method for Centerline Computation of Coronary Arteries. In: Sun, Y., Lu, H., Zhang, L., Yang, J., Huang, H. (eds) Intelligence Science and Big Data Engineering. IScIDE 2017. Lecture Notes in Computer Science(), vol 10559. Springer, Cham. https://doi.org/10.1007/978-3-319-67777-4_54
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DOI: https://doi.org/10.1007/978-3-319-67777-4_54
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