Abstract
Cone-beam computed tomography (CBCT) has become increasingly important as a low-radiation imaging technique with high resolution. The current new generation CBCT’s aim to optimize the benefits of CBCT while limiting the traditional disadvantages with features such as a larger gantry, higher tube voltage and a moveable table. Very promising is the current development of dual energy CBCT for detecting bone marrow edema, a better soft tissue visualization and reduction of beam hardening artifact. implementation of iterative reconstructions and artificial intelligence in high-end CBCT is a potential tool in a further very substantial dose reduction.
Highlights
Cone-beam Computed Tomography (CBCT) is an increasingly used imaging modality
It exposes the patient to a lower radiation dose, while a high-spatial resolution and high-quality images of bony architecture can be achieved with greater detail than multidetector CT (MDCT) [1,2,3,4,5]
Any motion affects the entire CBCT data set since it uses a volumetric acquisition, whereas on MDCT it may only affect a small portion of the scan [1, 3]
Summary
Cone-beam Computed Tomography (CBCT) is an increasingly used imaging modality. It has a conical X-ray beam and a flat-panel detector. It exposes the patient to a lower radiation dose (especially of importance in the pediatric population), while a high-spatial resolution and high-quality images of bony architecture can be achieved with greater detail than MDCT [1,2,3,4,5]. Any motion affects the entire CBCT data set since it uses a volumetric acquisition, whereas on MDCT it may only affect a small portion of the scan [1, 3].
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