scholarly journals An Image Quality Comparison Study Between Homemade and Commercial Dental Cone-beam CT Systems

2021 ◽  
Author(s):  
Trang Thi Ngoc Tran ◽  
David Shih-Chun Jin ◽  
Kun-Long Shih ◽  
Ming-Lun Hsu ◽  
Jyh-Cheng Chen
Keyword(s):  
Image Quality ◽  
Spatial Resolution ◽  
Cone Beam Ct ◽  
Calcium Hydroxyapatite ◽  
Cone Beam ◽  
Micro Ct ◽  
Mineral Density ◽  
Image Intensity ◽  
System A ◽  
Noise Ratio

Abstract Purpose: Cone-beam computed tomography (CBCT) has been widely applied in dental and maxillofacial imaging. Several dental CBCT systems have been recently developed in order to improve the performance. This study aimed to evaluate the image quality of our prototype (YMU-DENT-P001) and compare with another commercial CBCT system made in Taipei, Taiwan (system A). Methods: The Micro-CT-Contrast Scale, Micro-CT Water and Micro-CT HA phantoms were utilized to evaluate the contrast to noise ratio (CNR), signal to noise ratio (SNR), uniformity, distortion, and the linear relation between image intensity and calcium hydroxyapatite concentrations. Another customized thin-wire phantom was used to evaluate the FWHM spatial resolution. These phantoms were scanned by the two CBCT systems using the same exposure protocol. Acquired data were evaluated using the image analysis platform designed by our lab, which followed ISO standard. Results: The SNR of our prototype YMU-DENT-P001 is nearly five times higher (prototype: 159.85 ± 3.88; A: 35.42 ± 0.61; p<0.05) while CNR is three times higher than system A (prototype: 329.39 ± 5.55; A: 100.29 ± 2.31; p < 0.05). The spatial resolutions recorded are 0.2446 mm in the prototype DENT and 0.5179 mm in the commercial system A. Image produced by the prototype is also better in terms of distortion level (0.03 mm in prototype, compared to 0.294 mm in A, p < 0.05). The linear relationship between bone mineral density (BMD) and image intensity of both systems were similarly performed.Conclusion: Within the limitation of this study, our prototype DENT-P001 has potential to produce better image quality than system A in terms of spatial resolution, SNR, CNR, uniformity, and distortion.

scholarly journals An Image Quality Comparison Study Between Homemade and Commercial Dental Cone-Beam CT Systems

2021 ◽  
Author(s):  
Trang Thi Ngoc Tran ◽  
David Shih-Chun Jin ◽  
Kun-Long Shih ◽  
Ming-Lun Hsu ◽  
Jyh-Cheng Chen
Keyword(s):  
Image Quality ◽  
Spatial Resolution ◽  
Image Distortion ◽  
Cone Beam ◽  
Prototype System ◽  
Micro Ct ◽  
Mineral Density ◽  
Image Intensity ◽  
System A ◽  
Noise Ratio

Abstract Purpose Cone-beam computed tomography (CBCT) has been widely applied in dental and maxillofacial imaging. Several dental CBCT systems have been recently developed in order to improve the performance. This study aimed to evaluate the image quality of our prototype (YMU-DENT-P001) and compare with a commercial POYE Expert 3DS dental CBCT system (system A). Methods The Micro-CT Contrast Scale, Micro-CT Water and Micro-CT HA phantoms were used to evaluate the two CBCT systems in terms of contrast-to-noise ratio (CNR), signal-to-noise ratio (SNR), uniformity (U), distortion, and linearity in the relationship between image intensity and calcium hydroxyapatite concentration. We also fabricated a proprietary thin-wire phantom to evaluate full width at half maximum (FWHM) spatial resolution. Both CBCT systems used the same exposure protocol, and data analysis was performed in accordance with ISO standards using a proprietary image analysis platform. Results The SNR of our prototype system was nearly five times higher than that of system A (prototype: 159.85 ± 3.88; A: 35.42 ± 0.61; p < 0.05) and the CNR was three times higher (prototype: 329.39 ± 5.55; A: 100.29 ± 2.31; p < 0.05). The spatial resolution of the prototype (0.2446 mm) greatly exceeded that of system A (0.5179 mm) and image distortion was lower (prototype: 0.03 mm; system A: 0.285 mm). Little difference was observed between the two systems in terms of the linear relationship between bone mineral density (BMD) and image intensity. Conclusions Within the scope of this study, our prototype YMU-DENT-P001 outperformed system A in terms of spatial resolution, SNR, CNR, and image distortion.

scholarly journals Estimation of contrast-to-noise ratio in CT and CBCT images with varying scan settings in presence of different implant materials

2019 ◽  
Vol 48 (8) ◽  
pp. 20190139
Author(s):  
Emine Şebnem Kursun-Cakmak ◽  
Husniye Demirturk Kocasarac ◽  
Seval Bayrak ◽  
Gülbahar Ustaoğlu ◽  
Marcel Noujeim
Keyword(s):  
Image Quality ◽  
Imaging Modality ◽  
Cone Beam Ct ◽  
Medical Systems ◽  
Plastic Container ◽  
Implant Materials ◽  
Different Types ◽  
Noise Ratio ◽  
Titanium Grade ◽  
Imagej Software

Objectives: To assess the contrast-to-noise ratio (CNR) of four different types of dental implant materials in CT and cone beam CT (CBCT) images with varying scan settings. Methods: Four different types of implants: zirconium (Zr), titanium (Ti) Grade 4 and 5 and titanium–zirconium (Ti–ZrO2) alloy were placed in a 3% gelatin phantom in a cylindrical plastic container and scanned with two different CT machines (GE Medical systems and Toshiba Medical Systems) and one CBCT machine (I-CAT, Imaging Sciences International) with different voxel sizes of 0.2, 0.25, 0.3 and 0.4 mm. Images were analyzed using ImageJ software with the purpose of estimating the CNR. Results: The CNR obtained from images acquired with CT was lower than the CBCT with all voxel sizes tested. 0.3 and 0.4 mm voxel sizes exhibited the highest CNR (p < 0.05) that gives the best image quality. Among the implant materials tested, titanium Grade 5 has the highest levels of CNR while Zirconium has the lowest (p < 0.05). Conclusions: The optimum protocol for radiographic follow-up in areas near implants on the I-CAT is low-resolution settings (0.3 and 0.4 mm voxel sizes) which gave the highest CNR thus image quality. In presence of Zr implants, an alternative imaging modality (i.e., MRI) may be considered to avoid low-quality images.

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
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