
Artifacts: The downturn of CBCT image
Author(s) -
Anil Kumar Nagarajappa,
Neha Dwivedi,
Rana Tiwari
Publication year - 2015
Publication title -
journal of international society of preventive and community dentistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.476
H-Index - 14
eISSN - 2250-1002
pISSN - 2231-0762
DOI - 10.4103/2231-0762.170523
Subject(s) - cone beam computed tomography , computer vision , computer science , process (computing) , artificial intelligence , image quality , computed tomography , image (mathematics) , medicine , radiology , operating system
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 patient motion, the image capture and reconstruction process. To optimize image quality, it is necessary to understand the types of artifacts. This article aims to throw light on the various types of artifacts associated with CBCT images.