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Renan L.B. da Silva, Jun Ho Kim, Roberto A. Markarian, Rui Falacho, Djalma N. Cortes, Alan J.M. Costa, and Arthur R.G. Cortes
This chapter will discuss all the terms and definitions that the dental professional needs to know to understand the procedures discussed in the following chapters. Such definitions include abbreviations and general concepts of digital imaging and digital workflow. The chapter also presents a history of the use of CAD-CAM in dentistry in the last two decades, and the basic knowledge required plus ideas and alternatives to start with digital dentistry.
Digital dentistry is the term used to describe the different modalities of dental treatment workflow that are mostly performed with the use of digital technologies. Several digital methods have been incorporated to dental practice to replace conventional methods and techniques in order to enhance treatment planning and predictability of execution. Nowadays, digital dentistry is considered a whole field of study within dentistry. As with any other field of study, digital dentistry involves a learning curve to be mastered and used in the clinical routine. Ultimately, the dental professional is responsible for using existing digital tools appropriately for patient treatment. In other words, the basic theories of dentistry are still the same and should be very well known by the professional, who will be able to use these new digital tools to enhance predictability in executing the treatment plan.
In order to become familiar with digital dentistry and take advantage of its benefits, it is required to learn a series of important concepts and abbreviations. The most important of these are discussed below.
Conventional two-dimensional (2D) imaging modalities usually have several limitations such as image distortion, magnification, superimposition of anatomical structures, and lack of three-dimensional (3D) information for diagnosis and planning. In this context, 3D imaging modalities such as cone beam computed tomography (CBCT), intraoral and facial scanning systems provide 3D digital images for dentistry [1-3]. CBCT imaging allows for visualization and assessment of bone structures with high diagnostic accuracy and precision. For CBCT images, the professional needs to understand image acquisition parameters, since the quality of the image affects the quality of the work in digital dentistry. There are several CBCT acquisition parameters, such as field of view size (FOV), peak kilovoltage (kVp), milliamperage (mA), and voxel size. Each of these parameters has an influence on CBCT quality [2-5].
Intraoral and facial scanning can capture 3D patient images that can be used for digital treatment planning systems (Figure 1.1). The software will then develop a digital representation of the 3D object surfaces available, which will be automatically converted into 3D images composed by wireframe models.
Any 3D images can be rendered and edited in the 3D space, before being converted and saved in a specific file format [5]. As discussed in the next chapter, three file formats are commonly used in digital dentistry: OBJ, STL, and PLY. These files are based on the geometric reconstruction of objects by vectors, triangles or polygons, considering their positioning in a 3D space. After all data is ready, it is possible to store the shape of a model and other details such as color or texture.
Figure 1.1 Three-dimensional objects imported in different coordinates of the 3D space (screen capture of MeshMixer software, Autodesk). Note that the fixed bridge is closer to the screen than the molar crown. The dynamic grid is used to orientate the spatial disposition of the 3D objects.
Three-dimensional images can be manipulated in various ways, depending on the characteristics of the software. For example, with DICOM and STL files, using the CAD software one can plan and perform digital surgery of dental implants and wax-up of future prostheses. After digital planning, the implant surgery guide, temporary crowns, and definitive crowns can be printed with additive manufacturing devices or milled by subtractive manufacturing devices [5, 6].
All 3D images are created or rendered in a virtual space of coordinates and planes. Any objects that are digitally designed within the 3D coordinates can be fully edited in the virtual space, before being manufactured. The coordinate system is a method of assigning numbers to points. In three dimensions, three numbers are required to specify a point. Plain 2D images have numbers related to only two coordinates (x and y). The coordinate that represents the third dimension is usually an axis called z. The z-axis is perpendicular to both the x-axis and the y-axis (Figure 1.2).
The coordinates and the respective planes provide references for the location, size, and volume of the 3D images. All 3D objects have their coordinates fixed in a virtual plane of the imaging software. It is important to make sure that multiple 3D objects to be manipulated or aligned are positioned in the same spatial coordinates, which can be used as spatial references. Therefore, 3D files from different imaging methods should be in the same 3D coordinates in order to be superimposed or combined with the aim of creating a virtual patient, as explained further in this chapter.
Figure 1.2 A 3D object (reconstructed model of a maxillary CBCT scan) is positioned in the 3D space of a software (Ultimaker Cura) to be 3D printed. Note the three axes depicted by the software in different colors (x-axis in red, y-axis in green, z-axis in blue).
The term computer-aided/assisted design is usually abbreviated as CAD. The methods used for image acquisition (CBCT, scanning imaging, photographs) and manipulation (software programs) can be included in CAD. On the other hand, computer-aided/assisted manufacturing (CAM) includes processes such as 3D printers (additive manufacturing) and milling devices (subtractive manufacturing). CAD-CAM technologies are currently used in biomedical engineering, clinical medicine, customized medical implants, tissue engineering, dentistry, artificial joint manufacture, and robotic surgery. Furthermore, the use of CAD-CAM technologies has been increasing in various fields of study of medicine and dentistry [5, 6]. Among the main devices that can be digitally designed and manufactured are different types of dental restorations and prostheses, surgical guides, occlusal splints, dental casts, and orthodontic aligners [5, 7]. Details of the main clinical applications of CAD-CAM in dentistry are further addressed in the next chapters.
The term mesh is used to describe the surface of a 3D object composed of triangular or polygon faces. A mesh object does not have any actual curvature. Instead, the appearance of curvatures in a 3D image composed of meshes is obtained by increasing the number of surfaces. The most common file format of these 3D images is the STL file [5], which will be discussed in detail in the next chapter.
Since 3D patient scans are taken prior to dental treatment, CAD-CAM technology can be used for the fabrication of surgical guides, preparation guides, and maxillofacial surgical templates. Most of these applications require 3D hard and soft tissue images generated by CBCT and optical scanning image modalities, respectively. Based on such images, CAD-CAM guides can be designed and manufactured to orientate directions of drilling procedures and incisions [5].
Distinct 3D image files like DICOM and STL can be overlaid or aligned using CAD software. In the field of digital dentistry, aligning DICOM and STL is useful to plan implant placement. Details of image alignment will be addressed in the next chapter.
In 2D images, the resolution depends on the number of pixels. A pixel is the smallest unit of a digital image that can be displayed and represented on a digital display device, also known as a picture element (pix = picture, el = element). A pixel is represented by a dot or square on a computer display screen. Pixels are the basic building blocks of a digital image or display and are created using geometric coordinates. Depending on the graphics card and display monitor, the quantity, color combination, and size of pixels vary and are measured in terms of the display resolution. A full high-definition (full HD) image is 1920 pixels in width and 1080 pixels in height, totaling 2.07 megapixels. Ultra HD (also known as 4?K) resolution has 3840?×?2160 pixels, totaling 8.3 megapixels.
The 3D version of a pixel is called a voxel. In general, the smaller the voxel size is, the better quality a 3D reconstructed...
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