Influence of Voxel Size on CBCT Images for Dental Implants Planning

Kehrwald, Ricardo; Castro, Hebert Sampaio de; Salmeron, Samira; Matheus, Ricardo Alves; Santaella, Gustavo Machado; Queiroz, Polyane Mazucatto

doi:10.1055/s-0041-1736388

Cited by 7 publications

(7 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is notable that following the CBCT scans in different voxel sizes (0.150 mm, 0.250 mm, and 0.300 mm), no statistical differences were found between the measurements in similar angulations. Our finding is consistent with previous studies implying that different available clinical resolutions do not affect the accuracy of the linear measurements [ 43 – 46 ].…”

Section: Discussionsupporting

confidence: 93%

The Effect of Mandibular Angulation on Preoperative Assessment of Dental Implant Insertion at Premolar Region: CBCT Study

Mahmoudinezhad

AryanKia

Shooshtari

et al. 2022

BioMed Research International

View full text Add to dashboard Cite

Backgrounds. This study investigated the effect of mandibular angulation on the perioperative evaluation of the implant placement at the premolar region on panoramic reconstructed images using cone beam computed tomography (CBCT). Methods. A total of six dried anonymous human mandibles was included. Two implants were inserted in the left and right first premolar region. CBCT scans were obtained from each mandible at the standard position, +20° extension, and -20° flexion. The distance of the implant from the anterior loop of the inferior alveolar nerve and mental foramen was measured. Mean absolute error (MAE) of the distance of the implant from both anatomical landmarks was measured. The Wilcoxon matched-pair signed-rank test was used for the comparison of the measurements. All data were analyzed with the Stata program (version 15.1). Results. No statistically significant differences were found between the distance of the implant from the mental foramen and the anterior loop of the inferior alveolar nerve up to 20° extension and flexion at both sides of the mandible. (All p > 0.1 ) However, a variable range of MAE (SD) in the distance of the implant from different anatomical landmarks was found ( 0.9 ± 0.7 to 3.3 ± 2.1 ). Conclusions. We found no statistical difference in measurements of the distance of the implant from two anatomical landmarks at different head positions up to 20° extension and flexion. However, clinically, variable range in the distance of the implant from anatomical landmarks should be considered. Our findings could alert dentists of the possibility of error up to 20° extension and flexion on the perioperative evaluation of dental implant placement.

show abstract

Section: Discussionsupporting

confidence: 93%

The Effect of Mandibular Angulation on Preoperative Assessment of Dental Implant Insertion at Premolar Region: CBCT Study

Mahmoudinezhad

AryanKia

Shooshtari

et al. 2022

BioMed Research International

View full text Add to dashboard Cite

show abstract

“…This study aimed to use parameters that cover a wide array of clinical applications; therefore, voxel sizes of 0.15, 0.3, and 0.45 mm were selected. One study observed no significant difference in the linear measurement of bone height and thickness across CBCT images reconstructed using voxel sizes of 0.1, 0.2, 0.3, and 0.4 mm 46 . Furthermore, there appeared to be no difference in the accuracy of linear measurements on 3D reconstructed models between 0.2 and 0.4 mm voxel sizes, 47,48 as well as between 0.15 and 0.3 mm voxel sizes 30 .…”

Section: Discussionmentioning

confidence: 99%

Influence of exposure protocol, voxel size, and artifact removal algorithm on the trueness of segmentation utilizing an artificial‐intelligence‐based system

Alrashed,

Dutra,

Chu

et al. 2024

Journal of Prosthodontics

View full text Add to dashboard Cite

PurposeTo evaluate the effects of exposure protocol, voxel sizes, and artifact removal algorithms on the trueness of segmentation in various mandible regions using an artificial intelligence (AI)‐based system.Materials and methodsEleven dry human mandibles were scanned using a cone beam computed tomography (CBCT) scanner under differing exposure protocols (standard and ultra‐low), voxel sizes (0.15 mm, 0.3 mm, and 0.45 mm), and with or without artifact removal algorithm. The resulting datasets were segmented using an AI‐based system, exported as 3D models, and compared to reference files derived from a white‐light laboratory scanner. Deviation measurement was performed using a computer‐aided design (CAD) program and recorded as root mean square (RMS). The RMS values were used as a representation of the trueness of the AI‐segmented 3D models. A 4‐way ANOVA was used to assess the impact of voxel size, exposure protocol, artifact removal algorithm, and location on RMS values (α = 0.05).ResultsSignificant effects were found with voxel size (p < 0.001) and location (p < 0.001), but not with exposure protocol (p = 0.259) or artifact removal algorithm (p = 0.752). Standard exposure groups had significantly lower RMS values than the ultra‐low exposure groups in the mandible body with 0.3 mm (p = 0.014) or 0.45 mm (p < 0.001) voxel sizes, the symphysis with a 0.45 mm voxel size (p = 0.011), and the whole mandible with a 0.45 mm voxel size (p = 0.001). Exposure protocol did not affect RMS values at teeth and alveolar bone (p = 0.544), mandible angles (p = 0.380), condyles (p = 0.114), and coronoids (p = 0.806) locations.ConclusionThis study informs optimal exposure protocol and voxel size choices in CBCT imaging for true AI‐based automatic segmentation with minimal radiation. The artifact removal algorithm did not influence the trueness of AI segmentation. When using an ultra‐low exposure protocol to minimize patient radiation exposure in AI segmentations, a voxel size of 0.15 mm is recommended, while a voxel size of 0.45 mm should be avoided.

show abstract

“…Voxel size needs to be smaller than the desired anatomical structure for adequate representation. 26,27 Spatial resolution or sharpness is the ability to distinguish small details in the image that can differentiate two adjacent structures as being distinct from one another. Other related terms include definition or visibility of detail and also determines the accuracy to which anatomic detail can be measured.…”

Section: Fov Voxel Size and Timementioning

confidence: 99%

Cone-Beam Computed Tomography Accuracy for Morphological and Morphometric Evaluation of Mandibular Condyles Using Small FOV and Small Voxel Size

Arifin,

Kiswanjaya,

Priaminiarti

et al. 2023

J Indones Dent Assoc

View full text Add to dashboard Cite

The objective of this study is to evaluate the accuracy of cone beam computed tomography (CBCT) in determining and visualizing the morphology and morphometry of the mandibular condyle. Narrative reviews with article searches were carried out through NCBI's PubMed database and Scopus from September 2021–October 2021, with the inclusion criteria articles published in 2011–2021. The temporomandibular joint (TMJ) has a crucial role and is closely related to the masticatory system. The diagnosis of temporomandibular disorder (TMD) is not easy and is complex enough to require a comprehensive clinical and radiographic examination. Pathological changes such as erosion of the condyle, fracture, ankylosis, dislocation, and osteophyte can be well seen using CBCT imaging. CBCT images obtained with smaller field of view (FOV) have smaller a voxel size and a higher image resolution. FOV or scan volume refers to the anatomical area that will be included in the data volume or the area of the patient that will be irradiated. The dimension of FOV depends on the detector size and shape, the beam projection geometry, and the ability to collimate the beam. Voxel size is an important component of image quality, related to both the pixel size and the image matrix. Selection of small FOV and small voxel size is recommended because they provide better visualization and detail for the evaluation of morphology and morphometry of the condyle, especially the detection of erosion and defects on the condyle surface.

show abstract

Influence of Voxel Size on CBCT Images for Dental Implants Planning

Cited by 7 publications

References 27 publications

The Effect of Mandibular Angulation on Preoperative Assessment of Dental Implant Insertion at Premolar Region: CBCT Study

The Effect of Mandibular Angulation on Preoperative Assessment of Dental Implant Insertion at Premolar Region: CBCT Study

Influence of exposure protocol, voxel size, and artifact removal algorithm on the trueness of segmentation utilizing an artificial‐intelligence‐based system

Cone-Beam Computed Tomography Accuracy for Morphological and Morphometric Evaluation of Mandibular Condyles Using Small FOV and Small Voxel Size

Contact Info

Product

Resources

About