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High precision implicit modeling for patient-specific coronary arteries

Hong, Qingqi; Li, Qingde; Wang, Beizhan; Liu, Kunhong; Qi, Quan

Authors

Qingqi Hong

Beizhan Wang

Kunhong Liu

Quan Qi



Abstract

High precision geometric reconstruction of patient-specific coronary arteries plays a crucial role in visual diagnosis, treatment decision-making, and the evaluation of the therapeutic effect of interventions in coronary artery diseases. It is also a fundamental task and a basic requirement in the numerical simulation of coronary blood flow dynamics. In this paper, a new implicit modeling technique for the geometric reconstruction of patient-specific coronary arteries has been developed. In the proposed method, the coronary arteries geometry is reconstructed segment by segment using radial basis functions with ellipsoid constraint from the point cloud obtained with a volumetric vascular image segmentation method, and the individually reconstructed coronary branches are then combined using a shape-preserving implicit blending operation to form a complete coronary artery surface. The experiment results and validations indicate that the reconstructed vascular shapes are of high smoothness and faithfulness.

Citation

Hong, Q., Li, Q., Wang, B., Liu, K., & Qi, Q. (2019). High precision implicit modeling for patient-specific coronary arteries. IEEE access : practical innovations, open solutions, 7, 72020-72029. https://doi.org/10.1109/access.2019.2920113

Journal Article Type Article
Acceptance Date May 21, 2019
Online Publication Date May 30, 2019
Publication Date May 30, 2019
Deposit Date Jun 14, 2019
Publicly Available Date Jun 14, 2019
Journal IEEE access : practical innovations, open solutions
Print ISSN 2169-3536
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
Volume 7
Pages 72020-72029
DOI https://doi.org/10.1109/access.2019.2920113
Keywords General Engineering; General Materials Science; General Computer Science
Public URL https://hull-repository.worktribe.com/output/1991490
Publisher URL https://ieeexplore.ieee.org/document/8726391

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https://creativecommons.org/licenses/by/4.0/

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Personal use is also permitted, but republication/redistribution requires IEEE permission.
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