4D-Imaging of the Lung: Reproducibility of Lesion Size and Displacement on Helical CT, MRI, and Cone Beam CT in a Ventilated Ex Vivo System

2009 ◽  
Vol 73 (3) ◽  
pp. 919-926 ◽  
Author(s):  
Juergen Biederer ◽  
Julien Dinkel ◽  
Gregor Remmert ◽  
Siri Jetter ◽  
Simeon Nill ◽  
...  
Author(s):  
Masahiro Iikubo ◽  
Kaoru Kobayashi ◽  
Akira Mishima ◽  
Shinji Shimoda ◽  
Takayoshi Daimaruya ◽  
...  

2009 ◽  
Vol 36 (6Part4) ◽  
pp. 2458-2458
Author(s):  
X Li ◽  
T Li ◽  
Y Yang ◽  
D Heron ◽  
M Huq

2012 ◽  
Vol 39 (6Part5) ◽  
pp. 3652-3652
Author(s):  
O Algan ◽  
S Oyewale ◽  
S Ahmad ◽  
I Ali

2021 ◽  
pp. 20210010
Author(s):  
Ann Wenzel

Radiographic imaging for the diagnosis of caries lesions has been a supplement to clinical examination for approximately a century. Various methods, and particularly X-ray receptors, have been developed over the years, and computer systems have focused on aiding the dentist in the detection of lesions and in estimating lesion depth. The present historical review has sampled accuracy ex vivo studies and clinical studies on radiographic caries diagnosis that have compared two or more receptors for capturing the image. The epochs of film radiography, xeroradiography, digital intraoral radiography, panoramic radiography and other extraoral methods, TACT analysis, cone-beam CT and artificial intelligence systems aiding in decision-making are reviewed. The author of this review (43 years in academia) has been involved in caries research and contributed to the literature in all the mentioned epochs.


2021 ◽  
pp. 146531252110661
Author(s):  
Gaston F Coutsiers Morell ◽  
Yuli Berlin-Broner ◽  
Carlos Flores-Mir ◽  
Giseon Heo

Objective: To quantify tooth volume differences from extracted teeth when using three different three-dimensional (3D) computed tomography (CT)-based imaging modalities. Design: Ex vivo study. Setting: Laboratory and clinics of the University of Alberta. Methods: Cone-beam CT (CBCT) of 12 extracted teeth were scanned using 0.25- and 0.30-mm voxel size from CBCT and a 0.06-mm voxel size from micro-CT (reference standard). 3D reconstructions for each tooth from each imaging modality were made through the software ITK-SNAP®. The mean volume differences between each pair of scanning modalities were calculated and then compared and analysed through a repeated measures ANOVA. Results: The average overestimations of the teeth volume were 15.2% for the high-resolution CBCT and 28.1% for the low-resolution CBCT compared to micro-CT measurements. The differences in absolute volume were 81.6 mm3 and 152.8 mm3, respectively. All differences were statistically significant ( P < 0.05). Conclusions: Orthodontists and researchers who assess root resorption through CBCT imaging should be aware that the depicted volumes may likely be overestimating tooth volume and camouflaging real root volumetric treatment changes.


2019 ◽  
Vol 46 (11) ◽  
pp. 1134-1143 ◽  
Author(s):  
Tony Vanderstuyft ◽  
Mihai Tarce ◽  
Bahoz Sanaan ◽  
Reinhilde Jacobs ◽  
Karla de Faria Vasconcelos ◽  
...  

2020 ◽  
pp. 20200450
Author(s):  
Amanda Pelegrin Candemil ◽  
Francesca Mangione ◽  
Karla Farias Vasconcelos ◽  
Anne Caroline Oenning ◽  
Reinhilde Jacobs ◽  
...  

Objectives: To evaluate the influence of exomass-related metal artefacts on the detection of simulated vertical root fracture (VRF) in cone-beam computed tomography (CBCT). Methods: Twenty teeth were endodontically instrumented and VRF was induced in half of them. All teeth were individually placed in an empty socket of a human mandible. Metallic materials were differently arranged in the exomass [zone outside of the field of view (FOV) but between the X-ray source and the receptor] and/or endomass (zone inside of the FOV), and CBCT scans were obtained. Four radiologists evaluated the presence of VRF using a 5-point scale. Sensitivity, specificity, and area under the receiver operating curve (AUC) were compared using ANOVA. Also, the tooth of interest was replaced with a tube filled with a radiopaque solution and all CBCT scans were repeated to analyse the data objectively. Mean grey and noise values were obtained from the tube and compared using ANOVA followed by Tukey’s test (α = 0.05). Results: Mean grey values were significantly lower and noise was significantly higher when metallic materials were present in the endomass or both the exomass and endomass. Sensitivity, specificity, and AUC were not influenced by the artefacts from the metallic materials irrespective of the arrangement condition. Conclusions: Exomass-related metal artefacts did not influence the diagnosis of simulated VRF in CBCT.


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