Technical assessment of a cone-beam CT scanner for otolaryngology imaging: Image quality, dose, and technique protocols

2012 ◽  
Vol 39 (8) ◽  
pp. 4932-4942 ◽  
Author(s):  
J. Xu ◽  
D. D. Reh ◽  
J. P. Carey ◽  
M. Mahesh ◽  
J. H. Siewerdsen
Keyword(s):  
Image Quality ◽  
Cone Beam Ct ◽  
Cone Beam ◽  
Ct Scanner ◽  
Technical Assessment

Dose and Image Quality Evaluation of a Dedicated Cone-Beam CT System for High-Contrast Neurologic Applications

2010 ◽  
Vol 194 (2) ◽  
pp. W193-W201 ◽  
Author(s):  
Lifeng Yu ◽  
Thomas J. Vrieze ◽  
Michael R. Bruesewitz ◽  
James M. Kofler ◽  
David R. DeLone ◽  
...  
Keyword(s):  
Image Quality ◽  
Quality Evaluation ◽  
Cone Beam Ct ◽  
Cone Beam ◽  
High Contrast ◽  
Image Quality Evaluation ◽  
Ct System

A 3D printed phantom for Image Quality Assessment in Cone-beam CT

2018 ◽  
Vol 52 ◽  
pp. 170
Author(s):  
James O’Halloran ◽  
Paddy Gilligan ◽  
Sinead Cleary ◽  
Susan Maguire ◽  
Gerald O’Connor ◽  
...  
Keyword(s):  
Image Quality ◽  
Quality Assessment ◽  
Image Quality Assessment ◽  
Cone Beam Ct ◽  
Cone Beam ◽  
3D Printed

Improved image quality of cone beam CT scans for radiotherapy image guidance using fiber-interspaced antiscatter grid

2014 ◽  
Vol 41 (6Part1) ◽  
pp. 061910 ◽  
Author(s):  
Uros Stankovic ◽  
Marcel van Herk ◽  
Lennert S. Ploeger ◽  
Jan-Jakob Sonke
Keyword(s):  
Image Quality ◽  
Image Guidance ◽  
Cone Beam Ct ◽  
Ct Scans ◽  
Cone Beam ◽  
Antiscatter Grid

scholarly journals Relationship between CNR and visibility of anatomical structures of cone-beam computed tomography images under different exposure parameters

2020 ◽  
Vol 49 (5) ◽  
pp. 20190336
Author(s):  
Miss Fei Wang ◽  
Xiaoyan Xie ◽  
Gang Li ◽  
Zuyan Zhang
Keyword(s):  
Image Quality ◽  
Change Point ◽  
Cone Beam Ct ◽  
Cone Beam ◽  
Physical Factors ◽  
Anatomical Structures ◽  
Subjective Image Quality ◽  
Computed Tomography Images ◽  
Tissue Equivalent ◽  
Imagej Software

Objectives: The purpose of this study was to investigate the image quality of cone beam CT (CBCT) under different exposure parameters and the relationship between contrast-to-noise and visibility of eight anatomical structures. Methods: CBCT images for the evaluation of subjective image quality were acquired on an anthropopathic phantom containing a human skeleton embedded in soft tissue equivalent materials using 25 exposure protocols. Visibility of eight anatomical structures was evaluated by five independent observers. Using the SEDENTEXCT IQ Image Quality phantom, the contrast-to-noise ratio (CNR) was calculated by ImageJ software. Results: A reduction on the visibility of anatomical structures was seen under lower exposure parameters. However, for 84% of the protocols, visibility of anatomical structures remained acceptable even under some lower parameter settings. As CNR increased, the visibility of anatomical structures also increased correspondingly. A change point could be found in the CNR interval 29.42–36.51 after which the visibility of anatomical structures no longer increases with the increase of CNR. Conclusions: Although CNR decrease under a lower exposure parameter, the image quality often remained acceptable at exposure levels below the manufacture’s recommended settings. It is possible to standardize subjective image quality by physical factors. Currently, it is not possible to predetermine a change point CNR value due to different CBCT machine and variation of diagnostic tasks.

scholarly journals Image quality optimization using a narrow vertical detector dental cone-beam CT

2019 ◽  
Vol 48 (3) ◽  
pp. 20180357 ◽  
Author(s):  
Danieli Moura Brasil ◽  
Ruben Pauwels ◽  
Wim Coucke ◽  
Francisco Haiter-Neto ◽  
Reinhilde Jacobs
Keyword(s):  
Image Quality ◽  
Cone Beam Ct ◽  
Cone Beam ◽  
Quality Optimization
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