IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i17p6375-d407381.html
   My bibliography  Save this article

Impacts of Thresholds of Gray Value for Cone-Beam Computed Tomography 3D Reconstruction on the Accuracy of Image Matching with Optical Scan

Author

Listed:
  • Se-Won Park

    (Department of Prosthodontics, School of Dentistry, Institute for Translational Research in Dentistry, Kyungpook National University, Daegu 41940, Korea)

  • Ra Gyoung Yoon

    (Department of Radiology, Nowon Eulji Medical Center, Eulji University, Seoul 01830, Korea)

  • Hyunwoo Lee

    (Department of Dental Clinic, National Medical Center, Seoul 04564, Korea)

  • Heon-Jin Lee

    (Department of Microbiology and Immunology, School of Dentistry, Kyungpook National University, Daegu 41940, Korea)

  • Yong-Do Choi

    (Department of Prosthodontics, School of Dentistry, Institute for Translational Research in Dentistry, Kyungpook National University, Daegu 41940, Korea)

  • Du-Hyeong Lee

    (Department of Prosthodontics, School of Dentistry, Institute for Translational Research in Dentistry, Kyungpook National University, Daegu 41940, Korea)

Abstract

In cone-beam computed tomography (CBCT), the minimum threshold of the gray value of segmentation is set to convert the CBCT images to the 3D mesh reconstruction model. This study aimed to assess the accuracy of image registration of optical scans to 3D CBCT reconstructions created by different thresholds of grey values of segmentation in partial edentulous jaw conditions. CBCT of a dentate jaw was reconstructed to 3D mesh models using three different thresholds of gray value (−500, 500, and 1500), and three partially edentulous models with different numbers of remaining teeth (4, 8, and 12) were made from each 3D reconstruction model. To merge CBCT and optical scan data, optical scan images were registered to respective 3D reconstruction CBCT images using a point-based best-fit algorithm. The accuracy of image registration was assessed by measuring the positional deviation between the matched 3D images. The Kruskal–Wallis test and a post hoc Mann–Whitney U test with Bonferroni correction were used to compare the results between groups (α = 0.05). The correlations between the experimental factors were calculated using the two-way analysis of variance test. The positional deviations were lowest with the threshold of 500, followed by the threshold of 1500, and then −500. A significant interaction was found between the threshold of gray values and the number of remaining teeth on the registration accuracy. The most significant deviation was observed in the arch model with four teeth reconstructed with a gray-value threshold of −500. The threshold for the gray value of CBCT segmentation affects the accuracy of image registration of optical scans to the 3D reconstruction model of CBCT. The appropriate gray value that can visualize the anatomical structure should be set, especially when few teeth remain in the dental arch.

Suggested Citation

  • Se-Won Park & Ra Gyoung Yoon & Hyunwoo Lee & Heon-Jin Lee & Yong-Do Choi & Du-Hyeong Lee, 2020. "Impacts of Thresholds of Gray Value for Cone-Beam Computed Tomography 3D Reconstruction on the Accuracy of Image Matching with Optical Scan," IJERPH, MDPI, vol. 17(17), pages 1-11, September.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:17:p:6375-:d:407381
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/17/6375/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/17/17/6375/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Seoung-Won Cho & Byoung-Eun Yang & Kyeong-Jun Cheon & Won-Seok Jang & Ju-Won Kim & Soo-Hwan Byun, 2020. "A Simple and Safe Approach for Maxillary Sinus Augmentation with the Advanced Surgical Guide," IJERPH, MDPI, vol. 17(11), pages 1-9, May.
    2. Gerardo Pellegrino & Pierantonio Bellini & Pier Francesco Cavallini & Agnese Ferri & Andrea Zacchino & Valerio Taraschi & Claudio Marchetti & Ugo Consolo, 2020. "Dynamic Navigation in Dental Implantology: The Influence of Surgical Experience on Implant Placement Accuracy and Operating Time. An in Vitro Study," IJERPH, MDPI, vol. 17(6), pages 1-9, March.
    3. Francesco Ferrini & Gianpaolo Sannino & Carlo Chiola & Paolo Capparé & Giorgio Gastaldi & Enrico Felice Gherlone, 2019. "Influence of Intra-Oral Scanner (I.O.S.) on The Marginal Accuracy of CAD/CAM Single Crowns," IJERPH, MDPI, vol. 16(4), pages 1-9, February.
    4. Paolo Cappare & Gianpaolo Sannino & Margherita Minoli & Pietro Montemezzi & Francesco Ferrini, 2019. "Conventional versus Digital Impressions for Full Arch Screw-Retained Maxillary Rehabilitations: A Randomized Clinical Trial," IJERPH, MDPI, vol. 16(5), pages 1-15, March.
    5. Anas Almukhtar & Xiangyang Ju & Balvinder Khambay & James McDonald & Ashraf Ayoub, 2014. "Comparison of the Accuracy of Voxel Based Registration and Surface Based Registration for 3D Assessment of Surgical Change following Orthognathic Surgery," PLOS ONE, Public Library of Science, vol. 9(4), pages 1-6, April.
    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. Hang-Nga Mai & Jaeil Kim & Youn-Hee Choi & Du-Hyeong Lee, 2020. "Accuracy of Portable Face-Scanning Devices for Obtaining Three-Dimensional Face Models: A Systematic Review and Meta-Analysis," IJERPH, MDPI, vol. 18(1), pages 1-15, December.
    2. María Isabel Albanchez-González & Jorge Cortés-Bretón Brinkmann & Jesús Peláez-Rico & Carlos López-Suárez & Verónica Rodríguez-Alonso & María Jesús Suárez-García, 2022. "Accuracy of Digital Dental Implants Impression Taking with Intraoral Scanners Compared with Conventional Impression Techniques: A Systematic Review of In Vitro Studies," IJERPH, MDPI, vol. 19(4), pages 1-18, February.
    3. Gerardo Pellegrino & Giuseppe Lizio & Fabio Rossi & Lorenzo Tuci & Lorenzo Ferraioli & Luigi Vito Stefanelli & Stefano Di Carlo & Francesca De Angelis, 2021. "A 4 mm-Long Implant Rehabilitation in the Posterior Maxilla with Dynamic Navigation Technology: A Case Report after a Three-Years Post-Loading Follow-Up," IJERPH, MDPI, vol. 18(18), pages 1-11, September.
    4. Kyeong-Jun Cheon & Byoung-Eun Yang & Seoung-Won Cho & Sung-Min Chung & Soo-Hwan Byun, 2020. "Lateral Window Design for Maxillary Sinus Graft Based on the Implant Position," IJERPH, MDPI, vol. 17(17), pages 1-8, August.
    5. Francesca Cattoni & Luca Chirico & Alberto Merlone & Michele Manacorda & Raffaele Vinci & Enrico Felice Gherlone, 2021. "Digital Smile Designed Computer-Aided Surgery versus Traditional Workflow in “All on Four” Rehabilitations: A Randomized Clinical Trial with 4-Years Follow-Up," IJERPH, MDPI, vol. 18(7), pages 1-18, March.
    6. Jianhua Zhang & Lei Chen & Xiaoyan Wang & Zhongzhao Teng & Adam J Brown & Jonathan H Gillard & Qiu Guan & Shengyong Chen, 2014. "Compounding Local Invariant Features and Global Deformable Geometry for Medical Image Registration," PLOS ONE, Public Library of Science, vol. 9(8), pages 1-11, August.
    7. José Vicente Ríos-Santos & Gregorio Tello-González & Pedro Lázaro-Calvo & Francisco Javier Gil Mur & Blanca Ríos-Carrasco & Ana Fernández-Palacín & Mariano Herrero-Climent, 2020. "One Abutment One Time: A Multicenter, Prospective, Controlled, Randomized Study," IJERPH, MDPI, vol. 17(24), pages 1-17, December.
    8. Barbara Sobczak & Piotr Majewski, 2022. "An Integrated Fully Digital Prosthetic Workflow for the Immediate Full-Arch Restoration of Edentulous Patients—A Case Report," IJERPH, MDPI, vol. 19(7), pages 1-11, March.
    9. Luca Lavorgna & Gabriele Cervino & Luca Fiorillo & Giovanni Di Leo & Giuseppe Troiano & Marco Ortensi & Luigi Galantucci & Marco Cicciù, 2019. "Reliability of a Virtual Prosthodontic Project Realized through a 2D and 3D Photographic Acquisition: An Experimental Study on the Accuracy of Different Digital Systems," IJERPH, MDPI, vol. 16(24), pages 1-15, December.
    10. Andrea Cassoni & Luigi Manganiello & Giorgio Barbera & Paolo Priore & Maria Teresa Fadda & Resi Pucci & Valentino Valentini, 2022. "Three-Dimensional Comparison of the Maxillary Surfaces through ICP-Type Algorithm: Accuracy Evaluation of CAD/CAM Technologies in Orthognathic Surgery," IJERPH, MDPI, vol. 19(18), pages 1-10, September.
    11. Roberto Lo Giudice & Fausto Famà, 2020. "Health Care and Health Service Digital Revolution," IJERPH, MDPI, vol. 17(14), pages 1-2, July.
    12. Sigmar Schnutenhaus & Anne Knipper & Martin Wetzel & Cornelia Edelmann & Ralph Luthardt, 2021. "Accuracy of Computer-Assisted Dynamic Navigation as a Function of Different Intraoral Reference Systems: An In Vitro Study," IJERPH, MDPI, vol. 18(6), pages 1-13, March.
    13. Massimo Robiony & Elena Bocin & Salvatore Sembronio & Fabio Costa & Vittorio Bresadola & Alessandro Tel, 2020. "Redesigning the Paradigms of Clinical Practice for Oral and Maxillofacial Surgery in the Era of Lockdown for COVID-19: From Tradition to Telesemeiology," IJERPH, MDPI, vol. 17(18), pages 1-12, September.
    14. Francesco Grecchi & Luigi V. Stefanelli & Fabrizio Grivetto & Emma Grecchi & Rami Siev & Ziv Mazor & Massimo Del Fabbro & Nicola Pranno & Alessio Franchina & Vittorio Di Lucia & Francesca De Angelis &, 2021. "A Novel Guided Zygomatic and Pterygoid Implant Surgery System: A Human Cadaver Study on Accuracy," IJERPH, MDPI, vol. 18(11), pages 1-20, June.
    15. Naia Bustamante-Hernández & Jose María Montiel-Company & Carlos Bellot-Arcís & José Félix Mañes-Ferrer & María Fernanda Solá-Ruíz & Rubén Agustín-Panadero & Lucía Fernández-Estevan, 2020. "Clinical Behavior of Ceramic, Hybrid and Composite Onlays. A Systematic Review and Meta-Analysis," IJERPH, MDPI, vol. 17(20), pages 1-23, October.
    16. Jaime Orejas-Perez & Beatriz Gimenez-Gonzalez & Ignacio Ortiz-Collado & Israel J. Thuissard & Andrea Santamaria-Laorden, 2022. "In Vivo Complete-Arch Implant Digital Impressions: Comparison of the Precision of Three Optical Impression Systems," IJERPH, MDPI, vol. 19(7), pages 1-17, April.

    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:gam:jijerp:v:17:y:2020:i:17:p:6375-:d:407381. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.