Literature DB >> 24132024

The effect of scan parameters on cone beam CT trabecular bone microstructural measurements of the human mandible.

N Ibrahim1, A Parsa, B Hassan, P van der Stelt, I H A Aartman, D Wismeijer.   

Abstract

The objective of this study was to investigate the effect of different cone beam CT scan parameters on trabecular bone microstructure measurements. A human mandibular cadaver was scanned using a cone beam CT (3D Accuitomo 170; J.Morita, Kyota, Japan). 20 cone beam CT images were obtained using 5 different fields of view (4×4 cm, 6×6 cm, 8×8 cm, 10×10 cm and 10×5 cm), 2 types of rotation steps (180° and 360°) and 2 scanning resolutions (standard and high). Image analysis software was used to assess the trabecular bone microstructural parameters (number, thickness and spacing). All parameters were measured twice by one trained observer. Intraclass correlation coefficients showed high intraobserver repeatability (intraclass correlation coefficient, 0.95-0.97) in all parameters across all tested scan parameters. Trabecular bone microstructural measurements varied significantly, especially in smaller fields of view (p = 0.001). There was no significant difference in the trabecular parameters when using different resolutions (number, p = 0.988; thickness, p = 0.960; spacing, p = 0.831) and rotation steps (number, p = 1.000; thickness, p = 0.954; spacing, p = 0.759). The scan field of view significantly influences the trabecular bone microstructure measurements. Rotation steps (180° or 360°) and resolution (standard or high) selections are not relevant.

Entities:  

Keywords:  cone beam CT; diagnostic imaging; scanning parameter; trabecular bone

Mesh:

Year:  2013        PMID: 24132024      PMCID: PMC3853518          DOI: 10.1259/dmfr.20130206

Source DB:  PubMed          Journal:  Dentomaxillofac Radiol        ISSN: 0250-832X            Impact factor:   2.419


  38 in total

1.  Accuracy in measurement of distance using limited cone-beam computerized tomography.

Authors:  Kaoru Kobayashi; Shinji Shimoda; Yoichi Nakagawa; Akira Yamamoto
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2.  Accelerating image acquisition in 64-MDCT: the influence of scan parameters on image resolution and quality in a phantom study.

Authors:  Thorsten Klink; Marc Regier; Udo van Stevendaal; Michael Grass; Gerhard Adam; Philipp Begemann
Journal:  Clin Imaging       Date:  2012-06-08       Impact factor: 1.605

3.  A comparative evaluation of Cone Beam Computed Tomography (CBCT) and Multi-Slice CT (MSCT). Part II: On 3D model accuracy.

Authors:  Xin Liang; Ivo Lambrichts; Yi Sun; Kathleen Denis; Bassam Hassan; Limin Li; Ruben Pauwels; Reinhilde Jacobs
Journal:  Eur J Radiol       Date:  2009-05-06       Impact factor: 3.528

4.  Correlation between bone quality evaluated by cone-beam computerized tomography and implant primary stability.

Authors:  Young-Dai Song; Sang-Ho Jun; Jong-Jin Kwon
Journal:  Int J Oral Maxillofac Implants       Date:  2009 Jan-Feb       Impact factor: 2.804

5.  What is cone-beam CT and how does it work?

Authors:  William C Scarfe; Allan G Farman
Journal:  Dent Clin North Am       Date:  2008-10

6.  Reliability and reproducibility of linear mandible measurements with the use of a cone-beam computed tomography and two object inclinations.

Authors:  C Tomasi; E Bressan; B Corazza; S Mazzoleni; E Stellini; A Lith
Journal:  Dentomaxillofac Radiol       Date:  2011-05       Impact factor: 2.419

7.  Bone tissue microarchitectural characteristics at dental implant sites. Part 1: identification of clinical-related parameters.

Authors:  Rubelisa Cândido Gomes de Oliveira; Cláudio Rodrigues Leles; Christina Lindh; Rejane Faria Ribeiro-Rotta
Journal:  Clin Oral Implants Res       Date:  2011-07-04       Impact factor: 5.977

8.  Effect of voxel size on the accuracy of 3D reconstructions with cone beam CT.

Authors:  D Maret; N Telmon; O A Peters; B Lepage; J Treil; J M Inglèse; A Peyre; J L Kahn; M Sixou
Journal:  Dentomaxillofac Radiol       Date:  2012-12       Impact factor: 2.419

9.  MicroCT morphometry analysis of mouse cancellous bone: intra- and inter-system reproducibility.

Authors:  K Verdelis; L Lukashova; E Atti; P Mayer-Kuckuk; M G E Peterson; S Tetradis; A L Boskey; M C H van der Meulen
Journal:  Bone       Date:  2011-05-20       Impact factor: 4.398

10.  The effect of surrounding conditions on pixel value of cone beam computed tomography.

Authors:  Kazuyuki Araki; Tomohiro Okano
Journal:  Clin Oral Implants Res       Date:  2011-11-17       Impact factor: 5.977

View more
  9 in total

1.  Influence of object location in different FOVs on trabecular bone microstructure measurements of human mandible: a cone beam CT study.

Authors:  N Ibrahim; A Parsa; B Hassan; P van der Stelt; I H A Aartman; P Nambiar
Journal:  Dentomaxillofac Radiol       Date:  2013-11-21       Impact factor: 2.419

Review 2.  CBCT-based bone quality assessment: are Hounsfield units applicable?

Authors:  R Pauwels; R Jacobs; S R Singer; M Mupparapu
Journal:  Dentomaxillofac Radiol       Date:  2015       Impact factor: 2.419

3.  Comparison of mandibular bone microarchitecture between micro-CT and CBCT images.

Authors:  S Panmekiate; N Ngonphloy; T Charoenkarn; T Faruangsaeng; R Pauwels
Journal:  Dentomaxillofac Radiol       Date:  2015-01-07       Impact factor: 2.419

Review 4.  Capability of CBCT to identify patients with low bone mineral density: a systematic review.

Authors:  Eliete N S Guerra; Fabiana T Almeida; Fernanda V Bezerra; Paulo T D S Figueiredo; Maria A G Silva; Graziela De Luca Canto; Camila Pachêco-Pereira; André F Leite
Journal:  Dentomaxillofac Radiol       Date:  2017-07-03       Impact factor: 2.419

5.  Trabecular bone histomorphometric measurements and contrast-to-noise ratio in CBCT.

Authors:  E Klintström; O Smedby; B Klintström; T B Brismar; R Moreno
Journal:  Dentomaxillofac Radiol       Date:  2014-08-29       Impact factor: 2.419

6.  Effect of exposure parameters and voxel size on bone structure analysis in CBCT.

Authors:  R Pauwels; T Faruangsaeng; T Charoenkarn; N Ngonphloy; S Panmekiate
Journal:  Dentomaxillofac Radiol       Date:  2015-06-09       Impact factor: 2.419

7.  Standardized method to quantify the variation in voxel value distribution in patient-simulated CBCT data sets.

Authors:  R Spin-Neto; E Gotfredsen; A Wenzel
Journal:  Dentomaxillofac Radiol       Date:  2014-10-29       Impact factor: 2.419

8.  Difference in the artefacts production and the performance of the metal artefact reduction (MAR) tool between the buccal and lingual cortical plates adjacent to zirconium dental implant.

Authors:  Eduarda Helena Leandro Nascimento; Rocharles Cavalcante Fontenele; Gustavo Machado Santaella; Deborah Queiroz Freitas
Journal:  Dentomaxillofac Radiol       Date:  2019-07-10       Impact factor: 2.419

9.  Performance of Cone Beam Computed Tomography Systems in Visualizing the Cortical Plate in 3D Image Reconstruction: An In Vitro Study.

Authors:  Abbas Shokri; Mohammad Reza Jamalpour; Amir Eskandarloo; Mostafa Godiny; Payam Amini; Atefeh Khavid
Journal:  Open Dent J       Date:  2018-08-31
  9 in total

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