IDEAS home Printed from https://ideas.repec.org/a/hin/complx/5712594.html
   My bibliography  Save this article

Patient-Specific Coronary Artery 3D Printing Based on Intravascular Optical Coherence Tomography and Coronary Angiography

Author

Listed:
  • Chenxi Huang
  • Yisha Lan
  • Sirui Chen
  • Qing Liu
  • Xin Luo
  • Gaowei Xu
  • Wen Zhou
  • Fan Lin
  • Yonghong Peng
  • Eddie Y. K. Ng
  • Yongqiang Cheng
  • Nianyin Zeng
  • Guokai Zhang
  • Wenliang Che

Abstract

Despite the new ideas were inspired in medical treatment by the rapid advancement of three-dimensional (3D) printing technology, there is still rare research work reported on 3D printing of coronary arteries being documented in the literature. In this work, the application value of 3D printing technology in the treatment of cardiovascular diseases has been explored via comparison study between the 3D printed vascular solid model and the computer aided design (CAD) model. In this paper, a new framework is proposed to achieve a 3D printing vascular model with high simulation. The patient-specific 3D reconstruction of the coronary arteries is performed by the detailed morphological information abstracted from the contour of the vessel lumen. In the process of reconstruction which has 5 steps, the morphological details of the contour view of the vessel lumen are merged along with the curvature and length information provided by the coronary angiography. After comparing with the diameter of the narrow section and the diameter of the normal section in CAD models and 3D printing model, it can be concluded that there is a high correlation between the diameter of vascular stenosis measured in 3D printing models and computer aided design models. The 3D printing model has high-modeling ability and high precision, which can represent the original coronary artery appearance accurately. It can be adapted for prevascularization planning to support doctors in determining the surgical procedures.

Suggested Citation

  • Chenxi Huang & Yisha Lan & Sirui Chen & Qing Liu & Xin Luo & Gaowei Xu & Wen Zhou & Fan Lin & Yonghong Peng & Eddie Y. K. Ng & Yongqiang Cheng & Nianyin Zeng & Guokai Zhang & Wenliang Che, 2019. "Patient-Specific Coronary Artery 3D Printing Based on Intravascular Optical Coherence Tomography and Coronary Angiography," Complexity, Hindawi, vol. 2019, pages 1-10, December.
    • Handle: RePEc:hin:complx:5712594
    DOI: 10.1155/2019/5712594
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/8503/2019/5712594.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/8503/2019/5712594.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2019/5712594?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Berman, Barry, 2012. "3-D printing: The new industrial revolution," Business Horizons, Elsevier, vol. 55(2), pages 155-162.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Francesco Cappa & Fausto Del Sette & Darren Hayes & Federica Rosso, 2016. "How to Deliver Open Sustainable Innovation: An Integrated Approach for a Sustainable Marketable Product," Sustainability, MDPI, vol. 8(12), pages 1-14, December.
    2. Florinda Matos & Radu Godina & Celeste Jacinto & Helena Carvalho & Inês Ribeiro & Paulo Peças, 2019. "Additive Manufacturing: Exploring the Social Changes and Impacts," Sustainability, MDPI, vol. 11(14), pages 1-18, July.
    3. Yizhe Yang & Bingshan Liu & Haochen Li & Xin Li & Xiaodong Liu & Gong Wang, 2023. "Automatic selection system of the building orientation based on double-layer priority aggregation multi-attribute decision-making," Journal of Intelligent Manufacturing, Springer, vol. 34(5), pages 2477-2493, June.
    4. Na Liu & Pui-Sze Chow & Hongshan Zhao, 2020. "Challenges and critical successful factors for apparel mass customization operations: recent development and case study," Annals of Operations Research, Springer, vol. 291(1), pages 531-563, August.
    5. George Cornel Dumitrescu & Ion Alexandru Tanase, 2016. "3D Printing – A New Industrial Revolution," Knowledge Horizons - Economics, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, vol. 8(1), pages 32-39, March.
    6. Jaya Priyadarshini & Rajesh Kr Singh & Ruchi Mishra & Surajit Bag, 2022. "Investigating the interaction of factors for implementing additive manufacturing to build an antifragile supply chain: TISM-MICMAC approach," Operations Management Research, Springer, vol. 15(1), pages 567-588, June.
    7. Ghobadian, Abby & Talavera, Irene & Bhattacharya, Arijit & Kumar, Vikas & Garza-Reyes, Jose Arturo & O'Regan, Nicholas, 2020. "Examining legitimatisation of additive manufacturing in the interplay between innovation, lean manufacturing and sustainability," International Journal of Production Economics, Elsevier, vol. 219(C), pages 457-468.
    8. Rong, Ke & Patton, Dean & Chen, Weiwei, 2018. "Business models dynamics and business ecosystems in the emerging 3D printing industry," Technological Forecasting and Social Change, Elsevier, vol. 134(C), pages 234-245.
    9. Guo, Shu & Choi, Tsan-Ming & Chung, Sai-Ho, 2022. "Self-design fun: Should 3D printing be employed in mass customization operations?," European Journal of Operational Research, Elsevier, vol. 299(3), pages 883-897.
    10. Calza, Elisa & Lavopa, Alejandro & Ligia Zagato, 2022. "Advanced digital technologies and industrial resilience during the COVID-19 pandemic: A firm-level perspective," MERIT Working Papers 2022-008, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    11. Tullio de Rubeis & Annamaria Ciccozzi & Letizia Giusti & Dario Ambrosini, 2022. "The 3D Printing Potential for Heat Flow Optimization: Influence of Block Geometries on Heat Transfer Processes," Sustainability, MDPI, vol. 14(23), pages 1-19, November.
    12. Grimaldi, Didier & Fernandez, Vicenc, 2017. "The alignment of University curricula with the building of a Smart City: A case study from Barcelona," Technological Forecasting and Social Change, Elsevier, vol. 123(C), pages 298-306.
    13. Aristotelis Mavidis & Dimitris Folinas, 2022. "From Public E-Procurement 3.0 to E-Procurement 4.0; A Critical Literature Review," Sustainability, MDPI, vol. 14(18), pages 1-23, September.
    14. Alexandra Ioana FLOREA IONESCU, 2015. "The Disruptive Force Of 3d Printing On Supply Chains," Business Excellence and Management, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 5(2), pages 102-109, June.
    15. Naghshineh, Bardia & Ribeiro, André & Jacinto, Celeste & Carvalho, Helena, 2021. "Social impacts of additive manufacturing: A stakeholder-driven framework," Technological Forecasting and Social Change, Elsevier, vol. 164(C).
    16. Birtchnell, Thomas & Böhme, Tillmann & Gorkin, Robert, 2017. "3D printing and the third mission: The university in the materialization of intellectual capital," Technological Forecasting and Social Change, Elsevier, vol. 123(C), pages 240-249.
    17. Faisal Iddris, 2018. "Digital Supply Chain: Survey of the Literature," International Journal of Business Research and Management (IJBRM), Computer Science Journals (CSC Journals), vol. 9(1), pages 47-61, June.
    18. Sandström, Christian G., 2016. "The non-disruptive emergence of an ecosystem for 3D Printing — Insights from the hearing aid industry's transition 1989–2008," Technological Forecasting and Social Change, Elsevier, vol. 102(C), pages 160-168.
    19. Sebastian Saniuk & Sandra Grabowska & Bożena Gajdzik, 2020. "Personalization of Products in the Industry 4.0 Concept and Its Impact on Achieving a Higher Level of Sustainable Consumption," Energies, MDPI, vol. 13(22), pages 1-19, November.
    20. Katrin Oettmeier & Erik Hofmann, 2017. "Additive manufacturing technology adoption: an empirical analysis of general and supply chain-related determinants," Journal of Business Economics, Springer, vol. 87(1), pages 97-124, January.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:complx:5712594. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.