ReviewCone-beam computed tomography and its applications in dental and maxillofacial radiology
Introduction
The principle of constructing a volume from one scan dates back to the late 1970s, where a “dynamic spatial reconstructor” using multiple X-ray sources and a rotating gantry was used to produce high-resolution images of the beating human heart.1 Cone-beam computed tomography (CBCT) has medical applications including vascular imaging and radiotherapy planning; however, it was the seminal work of Mozzo et al.2 and Arai et al.3 that provided the basis for the introduction of the technique into the dental and maxillofacial radiology today. CBCT of the maxillofacial region was first described in 1998,2 and this was quickly followed by a pure small-volume system for dental applications.3 After these initial reports, it took until the late 2000s before a boom in the use of this novel three-dimensional (3D) technique became evident in dental and maxillofacial radiology. Initially driven by the need for cross-sectional imaging in dental implantology,4 the technique at that time generally offered a considerably lower radiation dose than multidetector computed tomography (MDCT).5,6
The term “cone beam” refers to the beam geometry on the early CBCT units. The beam was cone-shaped because round image intensifiers were being used. As these are no longer state of the art and have now been replaced by rectangular or square flat panel detectors, from a geometrical perspective the term is somewhat inaccurate; however, the term CBCT remains the accepted term for this technique today.
The estimated numbers of CBCT units is now considerably higher than MDCT units. In 2007, the estimated number of CBCT units in the USA was 10,335.7 The same also applies for other developed countries. For instance, in Germany, it is estimated that there are at least 6,000 dental and maxillofacial CBCT devices being used. In addition, there is now a huge choice of CBCT units available. In 2012, there were over 47 CBCT devices marketed by 20 companies worldwide.8 The aim of this article is to provide an overview of dental and maxillofacial CBCT.
Section snippets
Technical background
CBCT generates a 3D volume from a set of several hundred two-dimensional (2D) projection images. These are acquired as the X-ray source and the flat detector rotates about an isocentre, which is normally located at the centre of the volume of interest. By means of an approximate filtered back projection algorithm introduced by Feldkamp and colleagues in 19848 a 3D volume is generated. More recently, iterative algorithms have been applied for reconstruction. These produce a best-fit solution by
Effective dose from CBCT
The effective dose from a single intraoral radiograph varies between 0.3–21 μSv,19, 20, 21, 22 for a panoramic radiograph between 2.7–75 μSv, and for a lateral cephalometric radiograph between 2.2–14 μSv.19, 20, 21 CBCT effective doses are generally higher than those from conventional radiography21; however, the effective dose varies greatly. A recent meta-analysis showed the doses ranged between 5–1,073 μSv, with the range partly dependant on volume size (FOV size).15 The results of this
Dose optimisation in CBCT
Dose optimisation is an ethical obligation and a legal requirement in the European Union and involves keeping the radiation dose as low as reasonably practicable (ALARP), whilst keeping the images of diagnostic quality. The main ways the operator can optimise dose include making changes to the volume size, exposure factors/voxel size, and the arc of rotation.
Indications for CBCT
CBCT has applications in nearly all aspects of dentistry, and there have been several evidence-based guidance notes published to help the clinician.19,40,52,58 It is not possible to address all the clinical scenarios where CBCT is useful in this article, but the main areas are addressed below.
Future perspectives
Improved image quality of CBCT systems is likely to be seen in the future. By the implementation of iterative reconstruction techniques, noise can substantially be reduced.98 Novel motion correction algorithms99 may help to reduce the motion-induced blur and artefacts. In addition, standardisation of grey-scale is an important area of research, and it is hoped that improvements will be seen in the near future. In addition, the publication of further evidence-based guidelines will help the
Conflict of interest
The authors declare no conflict of interest.
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