A NEWLY DEVELOPED PHANTOM FOR PHYSICAL QUALITY ASSURANCE OF DENTAL CONE-BEAM COMPUTED TOMOGRAPHY

2018 ◽  
Vol 183 (3) ◽  
pp. 303-311
Author(s):  
Junko Bamba ◽  
Hideki Ishida ◽  
Kazuyuki Araki
2019 ◽  
Vol 18 ◽  
pp. 153303381987077
Author(s):  
Maria F. Chan ◽  
Seng-Boh Lim ◽  
Xiang Li ◽  
Xiaoli Tang ◽  
Peng Zhang ◽  
...  

Purposes: The newly released Protura 6 degrees-of-freedom couch (CIVCO) has limited quality assurance protocols and pertinent publications. Herein, we report our experiences of the Protura system acceptance, commissioning, and quality assurance. Methods: The Protura system integration was tested with peripheral equipment on the following items: couch movement range limit, 6 degrees-of-freedom movement accuracy, weight test and couch sagging, system connection with Linac, isocentricity of couch and rotation alignment, kV and cone-beam computed tomography imaging of HexaCHECK with MIMI phantom (Standard Imaging), and an in-house custom 6 degrees-of-freedom quality assurance phantom. A couch transmission measurement was also performed. Results: The vertical, longitudinal, and lateral ranges of the 6 degrees-of-freedom couch pedestal are 43.9 to 0.0 cm, 24.6 to 149.5 cm, −20.6 to 20.7 cm, respectively. The couch movement accuracy was within 1 mm in all directions. The couch sagging with a 200 lbs (∼91 kg) evenly distributed object is 1.0 cm and 0.4° pitch in the distal end of the couch. The isocentricity of the couch was about 0.5 mm in diameter of all crosshair projections on the couch isocenter level, and the largest couch rotation alignment observed was (0.3°) at the couch angle of 90°. The deviation from the reference position (zero position) of the HexaCHECK phantom, measured by matching the cone-beam computed tomography with the reference planning computed tomography, was found to be below 0.2 mm in the anterior–posterior and right–left dimensions, 0.4 mm in superior–inferior dimension, and 0.1° in roll, pitch, and yaw directions. Conclusions: A 6 degrees-of-freedom quality assurance phantom is helpful for the commissioning and routine quality assurance tests. Due to the third-party integration with Linac, the system is prone to “double-correction” errors. A rigorous quality assurance program is the key to a successful clinical implementation of the Protura system.


2017 ◽  
Vol 46 (3) ◽  
pp. 20160329 ◽  
Author(s):  
Marcus V L de Oliveira ◽  
Ann Wenzel ◽  
Paulo S F Campos ◽  
Rubens Spin-Neto

2017 ◽  
Vol 22 (3) ◽  
pp. 258-263 ◽  
Author(s):  
Hideharu Miura ◽  
Shuichi Ozawa ◽  
Masahiro Hayata ◽  
Shintarou Tsuda ◽  
Tsubasa Enosaki ◽  
...  

2021 ◽  
Vol 17 ◽  
pp. 71-76
Author(s):  
Jonathan J. Wyatt ◽  
Rachel A. Pearson ◽  
Christopher P. Walker ◽  
Rachel L. Brooks ◽  
Karen Pilling ◽  
...  

2006 ◽  
Vol 33 (6Part12) ◽  
pp. 2131-2132
Author(s):  
S Yoo ◽  
G Kim ◽  
R Hammoud ◽  
E Elder ◽  
T Pawlicki ◽  
...  

2019 ◽  
Vol 18 ◽  
pp. 153303381882305 ◽  
Author(s):  
Weihua Mao ◽  
Chang Liu ◽  
Stephen J. Gardner ◽  
Farzan Siddiqui ◽  
Karen C. Snyder ◽  
...  

Purpose: We have quantitatively evaluated the image quality of a new commercially available iterative cone-beam computed tomography reconstruction algorithm over standard cone-beam computed tomography image reconstruction results. Methods: This iterative cone-beam computed tomography reconstruction pipeline uses a finite element solver (AcurosCTS)-based scatter correction and a statistical (iterative) reconstruction in addition to a standard kernel-based correction followed by filtered back-projection-based Feldkamp-Davis-Kress cone-beam computed tomography reconstruction. Standard full-fan half-rotation Head, half-fan full-rotation Head, and standard Pelvis cone-beam computed tomography protocols have been investigated to scan a quality assurance phantom via the following image quality metrics: uniformity, HU constancy, spatial resolution, low contrast detection, noise level, and contrast-to-noise ratio. An anthropomorphic head phantom was scanned for verification of noise reduction. Clinical patient image data sets for 5 head/neck patients and 5 prostate patients were qualitatively evaluated. Results: Quality assurance phantom study results showed that relative to filtered back-projection-based cone-beam computed tomography, noise was reduced from 28.8 ± 0.3 HU to a range between 18.3 ± 0.2 and 5.9 ± 0.2 HU for Full-Fan Head scans, from 14.4 ± 0.2 HU to a range between 12.8 ± 0.3 and 5.2 ± 0.3 HU for Half-Fan Head scans, and from 6.2 ± 0.1 HU to a range between 3.8 ± 0.1 and 2.0 ± 0.2 HU for Pelvis scans, with the iterative cone-beam computed tomography algorithm. Spatial resolution was marginally improved while results for uniformity and HU constancy were similar. For the head phantom study, noise was reduced from 43.6 HU to a range between 24.8 and 13.0 HU for a Full-Fan Head and from 35.1 HU to a range between 22.9 and 14.0 HU for a Half-Fan Head scan. The patient data study showed that artifacts due to photon starvation and streak artifacts were all reduced, and image noise in specified target regions were reduced to 62% ± 15% for 10 patients. Conclusion: Noise and contrast-to-noise ratio image quality characteristics were significantly improved using the iterative cone-beam computed tomography reconstruction algorithm relative to the filtered back-projection-based cone-beam computed tomography method. These improvements will enhance the accuracy of cone-beam computed tomography-based image-guided applications.


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