3D reconstruction images of cone beam computed tomography applied to maxillofacial fractures: A case study and mini review

2018 ◽  
Vol 26 (1) ◽  
pp. 115-123 ◽  
Author(s):  
Liyun Bai ◽  
Linlin Li ◽  
Kexin Su ◽  
Anthony Bleyer ◽  
Yuanyuan Zhang ◽  
...  
Keyword(s):  
Computed Tomography ◽  
3D Reconstruction ◽  
Cone Beam Computed Tomography ◽  
Cone Beam ◽  
Maxillofacial Fractures

scholarly journals 3D reconstruction images of cone beam computed tomography in dental medicine application: A case study and mini-review

2016 ◽  
Vol 24 (5) ◽  
pp. 673-680 ◽  
Author(s):  
Yaming Li ◽  
Jicheng Sun ◽  
Yuanyuan Zhang ◽  
Wenyang Li ◽  
Bo Hu ◽  
...  
Keyword(s):  
Computed Tomography ◽  
3D Reconstruction ◽  
Cone Beam Computed Tomography ◽  
Cone Beam ◽  
Medicine Application

Value of cone beam computed tomography to evaluate complication of intracranial haemorrhage in endovascular treatment (evt): a case report

2019 ◽  
Vol 1 (1) ◽  
pp. 16-18 ◽  
Author(s):  
Norafida Bahari ◽  
Nik Azuan Nik Ismail ◽  
Jegan Thanabalan ◽  
Ahmad Sobri Muda
Keyword(s):  
Computed Tomography ◽  
Arteriovenous Malformation ◽  
Endovascular Treatment ◽  
Cone Beam Computed Tomography ◽  
Diagnostic Value ◽  
Cone Beam ◽  
Brain Arteriovenous Malformation ◽  
Embolic Materials

In this article, we evaluate the effectiveness of Cone Beam Computed Tomography, through a case study, in assessing the complication of intracranial bleeding during an endovascular treatment of brain arteriovenous malformation when compared to Multislice-Detector Computed Tomography performed immediately after the procedure. The image quality of Cone Beam Computed Tomography has enough diagnostic value in differentiating between haemorrhage, embolic materials and the arteriovenous malformation nidus to facilitate physicians to decide for further management of the patient.

Value of cone beam computed tomography to evaluate complication of intracranial haemorrhage in endovascular treatment (evt): a case report.

2019 ◽  
pp. 16-18
Author(s):  
Norafida Bahari ◽  
NikAzuan Nik Ismail ◽  
Jegan Thanabalan ◽  
Ahmad Sobri Muda
Keyword(s):  
Computed Tomography ◽  
Arteriovenous Malformation ◽  
Endovascular Treatment ◽  
Cone Beam Computed Tomography ◽  
Diagnostic Value ◽  
Cone Beam ◽  
Brain Arteriovenous Malformation ◽  
Embolic Materials

In this article, we evaluate the effectiveness of Cone Beam Computed Tomography, through a case study, in assessing the complication of intracranial bleeding during an endovascular treatment of brain arteriovenous malformation when compared to Multislice-Detector Computed Tomography performed immediately after the procedure. The image quality of Cone Beam Computed Tomography has enough diagnostic value in differentiating between haemorrhage, embolic materials and the arteriovenous malformation nidus to facilitate physicians to decide for further management of the patient.

scholarly journals Cone Beam Computed Tomography 3D Reconstruction of the Mandibular Condyle

2008 ◽  
Vol 78 (5) ◽  
pp. 880-888 ◽  
Author(s):  
Brian Schlueter ◽  
Ki Beom Kim ◽  
Donald Oliver ◽  
Gus Sortiropoulos
Keyword(s):  
Computed Tomography ◽  
Soft Tissue ◽  
3D Reconstruction ◽  
Cone Beam Computed Tomography ◽  
Three Dimensional ◽  
Mandibular Condyle ◽  
Cone Beam ◽  
Low Density ◽  
Mineral Density ◽  
Linear Measurements

Abstract Objective: To determine the ideal window level and width needed for cone beam computed three-dimensional (3D) reconstruction of the condyle. Materials and Methods: Linear dimensions were measured with a digital caliper to assess the anatomic truth for 50 dry human mandibular condyles. Condyles were scanned with the i-CAT cone beam computed tomography (CBCT) and 3D-models were reconstructed. Three linear three-dimensional measurements were made on each of the 50 condyles at 8 different Hounsfield unit (HU) windows. These measurements were compared with the anatomic truth. Volumetric measurements were also completed on all 50 condyles, at 23 different window levels, to define the volumetric distribution of bone mineral density (BMD) within the condyle. Results: Significant differences were found in two of the three linear measurement groups at and below the recommended viewing window for osseous structures. The most accurate measurements were made within the soft tissue range for HU window levels. Volumetric distribution measurements revealed that the condyles were mostly comprised of low-density bone, and that condyles exhibiting significant changes in linear measurements were shown to have higher percentages of low-density bone than those condyles with little change from the anatomic truth. Conclusions: CBCT assessment of the mandibular condyle, using the 3D reconstruction, is most accurate when accomplished at density levels below that recommended for osseous examination. However, utilizing lower window levels which extend into the soft tissue range, may compromise one's capacity to view the bony topography.

scholarly journals Impacts of Thresholds of Gray Value for Cone-Beam Computed Tomography 3D Reconstruction on the Accuracy of Image Matching with Optical Scan

2020 ◽  
Vol 17 (17) ◽  
pp. 6375 ◽  
Author(s):  
Se-Won Park ◽  
Ra Gyoung Yoon ◽  
Hyunwoo Lee ◽  
Heon-Jin Lee ◽  
Yong-Do Choi ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Image Registration ◽  
3D Reconstruction ◽  
Cone Beam Computed Tomography ◽  
Cone Beam ◽  
Dental Arch ◽  
Arch Model ◽  
3D Mesh ◽  
Optical Scan ◽  
Reconstruction Model

In cone-beam computed tomography (CBCT), the minimum threshold of the gray value of segmentation is set to convert the CBCT images to the 3D mesh reconstruction model. This study aimed to assess the accuracy of image registration of optical scans to 3D CBCT reconstructions created by different thresholds of grey values of segmentation in partial edentulous jaw conditions. CBCT of a dentate jaw was reconstructed to 3D mesh models using three different thresholds of gray value (−500, 500, and 1500), and three partially edentulous models with different numbers of remaining teeth (4, 8, and 12) were made from each 3D reconstruction model. To merge CBCT and optical scan data, optical scan images were registered to respective 3D reconstruction CBCT images using a point-based best-fit algorithm. The accuracy of image registration was assessed by measuring the positional deviation between the matched 3D images. The Kruskal–Wallis test and a post hoc Mann–Whitney U test with Bonferroni correction were used to compare the results between groups (α = 0.05). The correlations between the experimental factors were calculated using the two-way analysis of variance test. The positional deviations were lowest with the threshold of 500, followed by the threshold of 1500, and then −500. A significant interaction was found between the threshold of gray values and the number of remaining teeth on the registration accuracy. The most significant deviation was observed in the arch model with four teeth reconstructed with a gray-value threshold of −500. The threshold for the gray value of CBCT segmentation affects the accuracy of image registration of optical scans to the 3D reconstruction model of CBCT. The appropriate gray value that can visualize the anatomical structure should be set, especially when few teeth remain in the dental arch.

3D Reconstructions from Few Projections in Oral Radiology

2010 ◽  
pp. 108-121
Author(s):  
Ralf K.W. Schulze
Keyword(s):  
Computed Tomography ◽  
Information Technology ◽  
3D Reconstruction ◽  
Cone Beam Computed Tomography ◽  
Three Dimensional ◽  
Cone Beam ◽  
Oral Radiology ◽  
Reconstruction Problem ◽  
3D Reconstructions ◽  
X Ray

Established techniques for three-dimensional radiographic reconstruction such as computed tomography (CT) or, more recently cone beam computed tomography (CBCT) require an extensive set of measurements/ projections from all around an object under study. The x-ray dose for the patient is rather high. Cutting down the number of projections drastically yields a mathematically challenging reconstruction problem. Few-view 3D reconstruction techniques commonly known as “tomosynthetic reconstructions” have gained increasing interest with recent advances in detector and information technology.

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