Literature DB >> 22933535

Influence of cone beam CT scanning parameters on grey value measurements at an implant site.

A Parsa1, N Ibrahim, B Hassan, A Motroni, P van der Stelt, D Wismeijer.   

Abstract

OBJECTIVES: The aim of this study was to determine the grey value variation at the implant site with different scan settings, including field of view (FOV), spatial resolution, number of projections, exposure time and dose selections in two cone beam CT (CBCT) systems and to compare the results with those obtained from a multislice CT system.
METHODS: A partially edentulous human mandibular cadaver was scanned by three CT modalities: multislice CT (MSCT) (Philips, Best, the Netherlands), and two CBCT systems: (Accuitomo 170(®), Morita, Japan) and (NewTom 5G(®), QR, Verona, Italy). Using different scan settings 36 and 24 scans were obtained from the Accuitomo and the NewTom, respectively. The scans were converted to digital imaging and communications in medicine 3 format. The analysis of the data was performed using 3Diagnosys(®) software (v. 3.1, 3diemme, Cantù, Italy) and Geomagic studio(®) 2012 (Morrisville, NC). On the MSCT scan, one probe designating the site for pre-operative implant placement was inserted. The inserted probe on MSCT was transformed to the same region on each CBCT scan using a volume-based three-dimensional registration algorithm. The mean voxel grey value of the region around the probe was derived separately for each CBCT. The influence of scanning parameters on the measured mean voxel grey values was assessed.
RESULTS: Grey values in both CBCT systems significantly deviated from Hounsfield unit values measured with MSCT (p = 0.0001). In both CBCT systems, scan FOV and spatial resolution selections had a statistically significant influence on grey value measurements (p = 0.0001). The number of projections selection had a statistically significant influence in the Accuitomo system (p = 0.0001) while exposure time and dose selections had no statistically significant influence on grey value measurements in the NewTom (p = 0.43 and p = 0.37, respectively).
CONCLUSIONS: Grey-level values from CBCT images are influenced by device and scanning settings.

Entities:  

Mesh:

Year:  2012        PMID: 22933535      PMCID: PMC3667541          DOI: 10.1259/dmfr/79884780

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


  37 in total

1.  Deriving Hounsfield units using grey levels in cone beam computed tomography.

Authors:  P Mah; T E Reeves; W D McDavid
Journal:  Dentomaxillofac Radiol       Date:  2010-09       Impact factor: 2.419

2.  Reliability of voxel values from cone-beam computed tomography for dental use in evaluating bone mineral density.

Authors:  Yoshikazu Nomura; Hiroshi Watanabe; Eiichi Honda; Tohru Kurabayashi
Journal:  Clin Oral Implants Res       Date:  2010-05       Impact factor: 5.977

3.  Prospective study to estimate mandibular cancellous bone density using large-volume cone-beam computed tomography.

Authors:  Munetaka Naitoh; Akiko Hirukawa; Akitoshi Katsumata; Eiichiro Ariji
Journal:  Clin Oral Implants Res       Date:  2010-12       Impact factor: 5.977

4.  Operational principles for cone-beam computed tomography.

Authors:  David C Hatcher
Journal:  J Am Dent Assoc       Date:  2010-10       Impact factor: 3.634

5.  Field of view.

Authors:  Allan G Farman
Journal:  Oral Surg Oral Med Oral Pathol Oral Radiol Endod       Date:  2009-05-17

6.  Bone quality assessment based on cone beam computed tomography imaging.

Authors:  Yan Hua; Olivia Nackaerts; Joke Duyck; Frederik Maes; Reinhilde Jacobs
Journal:  Clin Oral Implants Res       Date:  2009-05-27       Impact factor: 5.977

7.  Evaluation of voxel values in mandibular cancellous bone: relationship between cone-beam computed tomography and multislice helical computed tomography.

Authors:  Munetaka Naitoh; Akiko Hirukawa; Akitoshi Katsumata; Eiichiro Ariji
Journal:  Clin Oral Implants Res       Date:  2009-02-25       Impact factor: 5.977

8.  Dosimetry and image quality of four dental cone beam computed tomography scanners compared with multislice computed tomography scanners.

Authors:  A Suomalainen; T Kiljunen; Y Käser; J Peltola; M Kortesniemi
Journal:  Dentomaxillofac Radiol       Date:  2009-09       Impact factor: 2.419

Review 9.  Cone-beam computed tomography of the maxillofacial region--an update.

Authors:  Chung How Kau; Marko Bozic; Jeryl English; Robert Lee; Harry Bussa; Randy K Ellis
Journal:  Int J Med Robot       Date:  2009-12       Impact factor: 2.547

10.  Comparative study of jaws with multislice computed tomography and cone-beam computed tomography.

Authors:  G Carrafiello; M Dizonno; V Colli; S Strocchi; S Pozzi Taubert; A Leonardi; A Giorgianni; M Barresi; A Macchi; E Bracchi; L Conte; C Fugazzola
Journal:  Radiol Med       Date:  2010-02-22       Impact factor: 3.469

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  25 in total

1.  Development of a low-dose protocol for cone beam CT examinations of the anterior maxilla in children.

Authors:  Jose A Hidalgo Rivas; Keith Horner; Badri Thiruvenkatachari; Jonathan Davies; Chrysoula Theodorakou
Journal:  Br J Radiol       Date:  2015-08-17       Impact factor: 3.039

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

Authors:  N Ibrahim; A Parsa; B Hassan; P van der Stelt; I H A Aartman; D Wismeijer
Journal:  Dentomaxillofac Radiol       Date:  2013-10-16       Impact factor: 2.419

3.  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

4.  Upper full arch rehabilitation with sinus by-pass with tilted implants via tapered-threaded expanders in low density bone: a clinical trial.

Authors:  M Andreasi Bassi; C Andrisani; S Lico; Z Ormanier; C Arcuri
Journal:  Oral Implantol (Rome)       Date:  2016-11-13

Review 5.  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

6.  Conditions and calibration to obtain comparable grey values between different clinical cone beam computed tomography scanners.

Authors:  Gregory M England; Eun-Sang Moon; Jordan Roth; Toru Deguchi; Allen R Firestone; F Michael Beck; Do-Gyoon Kim
Journal:  Dentomaxillofac Radiol       Date:  2016-11-15       Impact factor: 2.419

7.  Assessment of metal artefact reduction around dental titanium implants in cone beam CT.

Authors:  A Parsa; N Ibrahim; B Hassan; K Syriopoulos; P van der Stelt
Journal:  Dentomaxillofac Radiol       Date:  2014-08-19       Impact factor: 2.419

8.  Analysis of bite marks in foodstuffs by computer tomography (cone beam CT)--3D reconstruction.

Authors:  Jeidson Marques; Jamilly Musse; Catarina Caetano; Francisco Corte-Real; Ana Teresa Corte-Real
Journal:  J Forensic Odontostomatol       Date:  2013-12-01

9.  Can gray values derived from CT and cone beam CT estimate new bone formation? An in vivo study.

Authors:  Farshid Bastami; Shahriar Shahab; Azin Parsa; Fatemeh Mashhadi Abbas; Mohammad Hadi Noori Kooshki; Mahshid Namdari; Hamidreza Azimi Lisar; Tohid Rafiei; Farahnaz Fahimipour; Majid Salehi; Maissa Jafari
Journal:  Oral Maxillofac Surg       Date:  2017-10-31

Review 10.  Dose optimization by altering the operating potential and tube current exposure time product in dental cone beam CT: a systematic review.

Authors:  Rebekah Goulston; Jonathan Davies; Keith Horner; Frederick Murphy
Journal:  Dentomaxillofac Radiol       Date:  2016-01-06       Impact factor: 2.419

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