Variational Synthesis Network for Generating Micro Computed Tomography from Cone Beam Computed Tomography

Author(s):  
Xiaoyu Yang ◽  
Yufei Chen ◽  
Xiaodong Yue ◽  
Xiang Lin ◽  
Qi Zhang
2014 ◽  
Vol 40 (9) ◽  
pp. 1321-1326 ◽  
Author(s):  
Delphine Maret ◽  
Ove A. Peters ◽  
Antoine Galibourg ◽  
Jean Dumoncel ◽  
Rémi Esclassan ◽  
...  

OTO Open ◽  
2018 ◽  
Vol 2 (4) ◽  
pp. 2473974X1880023 ◽  
Author(s):  
Daniel Schurzig ◽  
Max Eike Timm ◽  
Cornelia Batsoulis ◽  
Rolf Salcher ◽  
Daniel Sieber ◽  
...  

Objective In the field of cochlear implantation, the current trend toward patient-specific electrode selection and the achievement of optimal audiologic outcomes has resulted in implant manufacturers developing a large portfolio of electrodes. The aim of this study was to bridge the gap between the known variability of cochlea length and this electrode portfolio. Design Retrospective analysis on cochlear length and shape in micro–computed tomography and cone beam computed tomography data. Setting Tertiary care medical center. Subjects and Methods A simple 2-step approach was developed to accurately estimate the individual cochlear length as well as the projected length of an electrode array inside the cochlea. The method is capable of predicting the length of the cochlea and the inserted electrode length at any specific angle. Validation of the approach was performed with 20 scans of human temporal bones (micro–computed tomography) and 47 pre- and postoperative clinical scans (cone beam computed tomography). Results Mean ± SD absolute errors in cochlear length estimations were 0.12 ± 0.10 mm, 0.38 ± 0.26 mm, and 0.71 ± 0.43 mm for 1, 1.5, and 2 cochlea turns, respectively. Predicted insertion angles based on clinical cone beam computed tomography data showed absolute deviations of 27° ± 18° to the corresponding postoperative measurements. Conclusion With accuracy improvements of 80% to 90% in comparison with previously proposed approaches, the method is well suited for the use in individualized cochlear implantation.


2019 ◽  
Vol 45 (5) ◽  
pp. 549-553 ◽  
Author(s):  
Eduarda Helena Leandro Nascimento ◽  
Marcela Ramos Abrahão Elias ◽  
Victor Hugo Fernandes Vasconcelos ◽  
Francisco Haiter-Neto ◽  
Elismauro Francisco Mendonça ◽  
...  

2021 ◽  
Author(s):  
Jie Zhou ◽  
Jieni Fu ◽  
Mo Xiao ◽  
Yangyang Lv ◽  
Fei Wu ◽  
...  

Abstract Background: Develop a new technique based on contrast-enhanced cone beam computed tomography (CBCT) to improve the detection of cracked teeth and the accuracy of crack depth evaluation in vitro. Methods: We developed an in vitro artificial simulation model of cracked teeth. Pre-experimental CBCT (pre-CBCT), and micro-computed tomography (micro-CT) were first performed for all cracked teeth (n = 31). Contrast-enhanced CBCT was then performed by infiltrating the crack with ioversol under vacuum conditions. The results of pre-CBCT, micro-CT, and contrast-enhanced CBCT were recorded. SPSS v.26.0 software (IBM Corp, Somers, NY) and R software , version 3.6.0 (R Foundation for Statistical Computing; http://www.r-project.org/) and RStudio 1.1.463 (RStudio, PBC, Boston, MA, US) were used to perform the statistical analysis for the study.Results: The sensitivities of pre-CBCT and contrast-enhanced CBCT were 48.4%, and 67.7%, respectively. ICC value of crack depth as measured by pre-CBCT and contrast-enhanced CBCT was 0.847 (95% confidence interval:0.380-0.960; P < 0.001). The areas under ROC curves (AUC) of pre-CBCT and contrast-enhanced CBCT were different, the AUC of pre-CBCT was 0.958 (P = 0.000, 95% CI :0.843-1.074), and the AUC of enhanced CBCT was 0.979 (P = 0.000, 95% CI :0.921-1.037), and the difference was not statistically significant (Z=-0.707, P = 0.480). The ICC value of crack depth as measured by contrast-enhanced CBCT and micro-CT was 0.753 (95% CI: 0.248-0.911; P < 0.001). Conclusion: Contrast-enhanced CBCT under vacuum conditions with a contrast medium can only significantly improve the cracks detection rate of cracked teeth, but not measure the crack depths accurately.


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