2015
DOI: 10.4103/2231-0762.170523
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Artifacts: The downturn of CBCT image

Abstract: Cone-beam computed tomography (CBCT) has been accepted as a useful tool for diagnosis and treatment planning in dentistry. Despite a growing trend of CBCT in dentistry, it has some disadvantages like artifacts. Artifacts are discrepancies between the reconstructed visual image and the actual content of the subject which degrade the quality of CBCT images, making them diagnostically unusable. Additionally, structures that do not exist in the subject may appear within images. Such structures can occur because of… Show more

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Cited by 97 publications
(24 citation statements)
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“…An artifact is any distortion or error in the image that has no relationship to the subject being studied, 15 and for CT images specifically, artifacts are any systematic discrepancies between the CT numbers in the reconstructed image and the expected CT numbers based on the true coefficient of linear attenuation of the studied object. 5 16 Those artifacts appear in CT images as dark bands, dark lines, and streaks.…”
Section: Discussionmentioning
confidence: 99%
“…An artifact is any distortion or error in the image that has no relationship to the subject being studied, 15 and for CT images specifically, artifacts are any systematic discrepancies between the CT numbers in the reconstructed image and the expected CT numbers based on the true coefficient of linear attenuation of the studied object. 5 16 Those artifacts appear in CT images as dark bands, dark lines, and streaks.…”
Section: Discussionmentioning
confidence: 99%
“…The latter is explained by the fact that when a homogeneous cylindrical structure is imaged, the energy of the X-rays passing through the center of the volume is "hardened" at a greater level than at the periphery of the object. This leads to a saucer-like shape in the reconstructed image: transparency (i.e., lower grayscale values) in the center area of the scanned object, which decreases steadily as the periphery of the cylindrical structure [15]. The reconstruction algorithm projects back a gray value to a voxel according to a particular pixel of the detector on which the intensity of the attenuated X-ray beam was recorded.…”
Section: Artifactsmentioning
confidence: 99%
“…Furthermore, structures that do not exist in the actual subject may appear in the image due to the patient motion, image capturing, and the process of reconstruction. The CT artifacts can include noise, motion, beam hardening, scatter, and metal artifacts [ 20 ].…”
Section: Reviewmentioning
confidence: 99%