Establishment of Standard Human Blood Vessel Model Based on Image Registration and Fitting Technology
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Published:2022-01-25
Issue:1
Volume:42
Page:21-28
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ISSN:1609-0985
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Container-title:Journal of Medical and Biological Engineering
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language:en
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Short-container-title:J. Med. Biol. Eng.
Author:
Luo Dinghao,Wu Junxiang,Wang Ning,Wang Lei,Xie Kai,Ai Songtao,Fu Lingjie,Hao Yongqiang,Wu Wen
Abstract
Abstract
Purpose
The blood vessel gives key information for pathological changes in a variety of diseases. In view of the crucial role of blood vessel structure, the present study aims to establish a digital human blood vessel standard model for diagnosing blood vessel-related diseases.
Methods
The present study recruited eight healthy volunteers, and reconstructed their bilateral upper extremity arteries according to CTA. The reconstructed vessels were segmented, registered, and merged into a bunch. After being cut by continuous cut planes, the dispersion of the blood vessel bunches on each cut plane were calculated.
Results
The results demonstrated that the middle segment of the brachial artery, the proximal segment of the ulnar artery, and the middle and distal segments of the radial artery had a low degree of dispersion. A standard blood vessel model was finally established by the integral method using the low-dispersion segments above. The accuracy of the standard blood vessel model was also verified by an actual contralateral vessel, which revealed that the deviation between the model and the actual normal contralateral brachial artery was relatively small.
Conclusion
The structure of the model was highly accordant with the real ones, which can be of great help in evaluating the blood vessel changes in blood vessel-related diseases, bone and soft-tissue tumors, and creating accurate surgical plans.
Publisher
Springer Science and Business Media LLC
Subject
Biomedical Engineering,General Medicine
Reference26 articles.
1. Varinska, L., Gal, P., Mojzisova, G., Mirossay, L., & Mojzis, J. (2015). Soy and breast cancer: Focus on angiogenesis. International Journal of Molecular Sciences, 16, 11728–11749. 2. Jing, B. Q., Ou, Y., Zhao, L., Xie, Q., & Zhang, Y. X. (2017). Experimental study on the prevention of liver cancer angiogenesis via miR-126. European Review for Medical and Pharmacological Sciences, 21, 5096–5100. 3. Yeo, D. M., et al. (2015). Correlation of dynamic contrast-enhanced MRI perfusion parameters with angiogenesis and biologic aggressiveness of rectal cancer: Preliminary results. Journal of Magnetic Resonance Imaging: JMRI, 41, 474–480. 4. Xie, L., Ji, T., & Guo, W. (2017). Anti-angiogenesis target therapy for advanced osteosarcoma (Review). Oncology Reports, 38, 625–636. 5. Leaute-Labreze, C., Harper, J. I., & Hoeger, P. H. (2017). Infantile haemangioma. The Lancet (London, England), 390, 85–94.
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