Authors
Budi Kusnoto, Pardeep Kaur, Abdelrahman Salem, Zheng Zhang, Maria Therese Galang-Boquiren, Grace Viana, Carla A Evans, Robert Manasse, Richard Monahan, Ellen BeGole, Ayas Abood, Xiao Han, Emil Sidky, Xiaochuan Pan
Publication date
2015/12/31
Journal
Seminars in Orthodontics
Volume
21
Issue
4
Pages
233-247
Publisher
WB Saunders
Description
Since its adoption more than two decades ago in the field of dentistry, three-dimensional (3D) cone-beam computed tomography (CBCT) has rapidly gained popularity as an imaging tool for three-dimensional visualization, diagnosis, and treatment simulation. The objective of this two-part study was to assess landmark identification, as well as the diagnostic value of images obtained using an ultra-low-dose reduced projection (sparse) views algorithm Adaptive-Steepest-Descent-Projection-Onto-Convex-Sets (ASD-POCS) applied to existing dental CBCT data. ASD-POCS was developed for CBCT studies, producing multiple CBCT data files with 12.5% (39), 25% (76), and 50% (150) of the original number of projection views (which is in direct proportion with the lowering of radiation dose). Assessment of 2D landmark identification derived from CBCT data at different projection views was conducted. Assessment of …
Scholar articles
B Kusnoto, P Kaur, A Salem, Z Zhang… - Seminars in Orthodontics, 2015