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Principles and Applications of Various 3D Scanning Methods for Image Acquisition for 3D Printing Applications in Oral Health Science

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3D Printing in Oral Health Science

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Abstract

With the advancement of technology and the integration of digital solutions in treatment planning, clinical prognosis and treatment in oral health science have evolved from a classic two-dimensional (2D) method to a sophisticated three-dimensional (3D) technique. The integration of digital technology in oral health science requires digital 3D images as a primary input data. These 3D digital data can be acquired by different modalities like nonionizing methods (desktop scanning, intraoral scanning, face scanning) to capture the 3D surface data of dento-alveolar-facial tissue and the ionizing methods (conventional CT or CBCT) to capture the 3D data of hard tissue (bone and teeth) of the craniofacial region. In this chapter, the basic principles and their application in dentistry in conjunction with 3D printing of digital surface scanning using desktop scanning, intraoral scanning, and facial scanning and the hard tissue scanning using CBCT are discussed. CBCT along with the state of the art newer ethnologies have improved the level of diagnosis and subsequent care to an paralleled level of accuracy, efficiency, and predictability of the treatment. This chapter provides an in-depth practical understanding of the principles and applications of various 3D scanning methods for 3D digital data acquisition of the craniofacial region in the oral health science.

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Acknowledgement

The authors are grateful to the Indian Council of Medical Research (ICMR), New Delhi, for providing extramural research grant for research project (code I-1069), which helped to generate data for this book chapter.

Authors are thankful to Mr. Netrapal (Dental technician at Division of Orthodontics and Dentofacial Deformities, CDER, AIIMS, New Delhi) for assistance in generation of images for this chapter, Dr. Vandita Vats and Dr. Okram DevDas Singh for providing inputs from general dental practice viewpoint needs of 3D imaging, and Mr. Eugene Shumilov, (Diagnocat, Inc., San Francisco, USA) for providing complementary access to generate data for this chapter.

In addition, authors are thankful to 3dMD Company (3dMD LLC, Atlanta, GA, USA) and GIP Lab (GIP Lab, Faculty of Computer Science, Technion—Israel Institute of Technology, Haifa, Israel) for assistance in providing the images for the facial scanning on this chapter.

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Authors and Affiliations

  1. Department of Orthodontics, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea

    Yoon-Ji Kim & Nayansi Jha

  2. Division of Oral Medicine and Radiology, Centre for Dental Education and Research (CDER), All India Institute of Medical Sciences (AIIMS), New Delhi, India

    Shalini Gupta

  3. Geometric Image Processing Lab, Faculty of Computer Science, Technion—Israel Institute of Technology, Haifa, Israel

    Alon Zvirin

  4. Oral and Maxillofacial Unit, Dental Implantology, Faculty of Dental Medicine, University Hospital Centre, Tirana, Albania

    Andis Qendro

  5. Department of Orthodontics and Craniofacial Anomalies, Faculty of Medicine, Rambam Health Care Campus, Technion—Israel Institute of Technology, Haifa, Israel

    Edlira Zere

  6. Division of Orthodontics and Dentofacial Deformities, Centre for Dental Education and Research (CDER), All India Institute of Medical Sciences (AIIMS), New Delhi, India

    Ramandeep Kaur Sokhi, K. S. Naveen & Prabhat Kumar Chaudhari

  7. Unit of Orthodontics and Dentofacial Orthopedics, Department of Dentistry, All India Institute of Medical Sciences (AIIMS), Bhubaneswar, Odisha, India

    Jitendra Sharan

  8. Department of Craniofacial Orthodontics, Chang Gung Memorial Hospital, Taoyuan City, Taiwan

    Suraj Sinha

  9. Pratap Dental Clinic and Implant Centre, Allahabad, Uttar Pradesh, India

    Swaroop Anil

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  1. Yoon-Ji Kim
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Correspondence to Prabhat Kumar Chaudhari .

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  1. All India Institute of Medical Sciences, New Delhi, India

    Prabhat Kumar Chaudhari

  2. North Eastern Hill University, Shillong, India

    Dinesh Bhatia

  3. All India Institute of Medical Sciences, Bhubaneswar, India

    Jitendra Sharan

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Kim, YJ. et al. (2022). Principles and Applications of Various 3D Scanning Methods for Image Acquisition for 3D Printing Applications in Oral Health Science. In: Chaudhari, P.K., Bhatia, D., Sharan, J. (eds) 3D Printing in Oral Health Science. Springer, Cham. https://doi.org/10.1007/978-3-031-07369-4_2

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