IDEAS home Printed from https://ideas.repec.org/a/igg/jhisi0/v16y2021i4p1-15.html

A Two-Stage Registration Method for Dental Volumetric Data and Mesh Data

Author

Listed:
  • Shuai Yang

    (School of Computer Science and Technology, Tiangong University, Tianjin, China)

  • Wenjing Shi

    (School of Computer Science and Technology, Tiangong University, Tianjin, China)

  • Yongzhen Ke

    (School of Computer Science and Technology, Tiangong University, Tianjin, China)

  • Yongjiang Xue

    (School of Computer Science and Technology, Tiangong University, Tianjin, China)

Abstract

Dental computed tomography (CT) images and optical surface scan data are widely used in dental computer-aided design systems. Registration is essential if they are used in software systems. Existing automatic registration methods are either time-consuming or rough, and interactive registration methods are experience-dependent and tedious because of a great deal of purely manual interactions. For overcoming these disadvantages, a two-stage registration method is proposed. In the rough registration stage, the rough translation and rotation matrices are obtained by applying unit quaternion based method on the points interactively selected from the two types of data. In the precise registration stage, the stridden sampling is used to reduce computational complexity and the proposed registration algorithm with scale transformation is used for precise registration. The proposed method offers a good trade-off between precision and time cost. The experimental results demonstrate that the proposed method provides faster convergence and smaller registration errors than existing methods.

Suggested Citation

  • Shuai Yang & Wenjing Shi & Yongzhen Ke & Yongjiang Xue, 2021. "A Two-Stage Registration Method for Dental Volumetric Data and Mesh Data," International Journal of Healthcare Information Systems and Informatics (IJHISI), IGI Global Scientific Publishing, vol. 16(4), pages 1-15, October.
  • Handle: RePEc:igg:jhisi0:v:16:y:2021:i:4:p:1-15
    as

    Download full text from publisher

    File URL: https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJHISI.20211001.oa29
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    2. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    3. Shirley Taylor & Peter A. Todd, 1995. "Understanding Information Technology Usage: A Test of Competing Models," Information Systems Research, INFORMS, vol. 6(2), pages 144-176, June.
    4. Duarte, Paulo & Pinho, José Carlos, 2019. "A mixed methods UTAUT2-based approach to assess mobile health adoption," Journal of Business Research, Elsevier, vol. 102(C), pages 140-150.
    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. Mohammed Akhmaaj, Asmaeil Ali & Sharif, Mohamed Omar, 2024. "The effects of planned behavior model constructs and technology acceptance model constructs on online purchasing behavior: An empirical study on internet users in the Libya city of Tripoli," Technology in Society, Elsevier, vol. 79(C).
    2. Borhan, Muhamad Nazri & Ibrahim, Ahmad Nazrul Hakimi & Miskeen, Manssour A. Abdulasalm, 2019. "Extending the theory of planned behaviour to predict the intention to take the new high-speed rail for intercity travel in Libya: Assessment of the influence of novelty seeking, trust and external influence," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 373-384.
    3. Shahida Saheb Shaiku, 2025. "Perceptions and motivating elements of bank customers for adoption of interest-free banking services: commercial bank of Ethiopia case," Future Business Journal, Springer, vol. 11(1), pages 1-22, December.
    4. Sanjeev Verma, 2015. "Harnessing the Benefit of Social Networking Sites for Intentional Social Action: Determinants and Challenges," Vision, , vol. 19(2), pages 104-111, June.
    5. Chua Chang Jin & Lim Chee Seong & Aye Aye Khin, 2019. "Factors Affecting the Consumer Acceptance towards Fintech Products and Services in Malaysia," International Journal of Asian Social Science, Asian Economic and Social Society, vol. 9(1), pages 59-65, January.
    6. Kim, Youngseek & Adler, Melissa, 2015. "Social scientists’ data sharing behaviors: Investigating the roles of individual motivations, institutional pressures, and data repositories," International Journal of Information Management, Elsevier, vol. 35(4), pages 408-418.
    7. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    8. Deborah Compeau & Barbara Marcolin & Helen Kelley & Chris Higgins, 2012. "Research Commentary ---Generalizability of Information Systems Research Using Student Subjects---A Reflection on Our Practices and Recommendations for Future Research," Information Systems Research, INFORMS, vol. 23(4), pages 1093-1109, December.
    9. Giovanis, Apostolos & Rizomyliotis, Ioannis & Konstantoulaki, Kleopatra & Magrizos, Solon, 2022. "Mining the hidden seam of proximity m-payment adoption: A hybrid PLS-artificial neural network analytical approach," European Management Journal, Elsevier, vol. 40(4), pages 618-631.
    10. Ramy A. Rahimi & Grace S. Oh, 2025. "Beyond theory: a systematic review of strengths and limitations in technology acceptance models through an entrepreneurial lens," Journal of Marketing Analytics, Palgrave Macmillan, vol. 13(4), pages 1195-1218, December.
    11. Hailiang Wang & Jiaxin Zhang & Yan Luximon & Mingfu Qin & Ping Geng & Da Tao, 2022. "The Determinants of User Acceptance of Mobile Medical Platforms: An Investigation Integrating the TPB, TAM, and Patient-Centered Factors," IJERPH, MDPI, vol. 19(17), pages 1-17, August.
    12. Richard Fisher & S. Zoe Chu, 2009. "Initial online trust formation: the role of company location and web assurance," Managerial Auditing Journal, Emerald Group Publishing, vol. 24(6), pages 542-563, June.
    13. Masud Rana & Gazi Md. Shakhawat Hossain & Maruf Hasan, 2020. "Effectiveness of entrepreneurship skill development training – A case study at RUDSETI in Chitradurga District, Karnataka," Indian Journal of Commerce and Management Studies, Educational Research Multimedia & Publications,India, vol. 11(3), pages 30-44, September.
    14. Jaydeep Mukherjee, 2016. "A comprehensive framework for adoption of mobile broadband services in Indian cities," Asian Journal of Empirical Research, Asian Economic and Social Society, vol. 6(1), pages 9-25, January.
    15. Francisco Liébana-Cabanillas & Francisco Muñoz-Leiva & Sebastián Molinillo & Elena Higueras-Castillo, 2022. "Do biometric payment systems work during the COVID-19 pandemic? Insights from the Spanish users' viewpoint," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-25, December.
    16. Nripendra P. Rana & Yogesh K. Dwivedi & Banita Lal & Michael D. Williams & Marc Clement, 2017. "Citizens’ adoption of an electronic government system: towards a unified view," Information Systems Frontiers, Springer, vol. 19(3), pages 549-568, June.
    17. Valentin Ngadi, 2016. "Factors Affecting The Adoption Of The Personality Of Design [Les Facteurs Determinants De La Diffusion/Adoption De La Personnalite Du Design]," Working Papers hal-01296338, HAL.
    18. Luceri, Beatrice & (Tammo) Bijmolt, T.H.A. & Bellini, Silvia & Aiolfi, Simone, 2022. "What drives consumers to shop on mobile devices? Insights from a Meta-Analysis," Journal of Retailing, Elsevier, vol. 98(1), pages 178-196.
    19. Arijit Bhattacharya & Manjari Srivastava, 2020. "A Framework of Online Customer Experience: An Indian Perspective," Global Business Review, International Management Institute, vol. 21(3), pages 800-817, June.
    20. Zhou, Min & Huang, Jinlong & Wu, Kexin & Huang, Xin & Kong, Nan & Campy, Kathryn S., 2021. "Characterizing Chinese consumers’ intention to use live e-commerce shopping," Technology in Society, Elsevier, vol. 67(C).

    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:igg:jhisi0:v:16:y:2021:i:4:p:1-15. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.