Literature DB >> 25354021

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

R Spin-Neto1, E Gotfredsen, A Wenzel.   

Abstract

OBJECTIVES: To suggest a standardized method to assess the variation in voxel value distribution in patient-simulated CBCT data sets and the effect of time between exposures (TBE). Additionally, a measurement of reproducibility, Aarhus measurement of reproducibility (AMORe), is introduced, which could be used for quality assurance purposes.
METHODS: Six CBCT units were tested [Cranex(®) 3D/CRAN (Soredex Oy, Tuusula, Finland); Scanora(®) 3D/SCAN (Soredex Oy); NewTom™ 5G/NEW5 (QR srl, Verona, Italy); i-CAT/ICAT (Imaging Sciences International, Hatfield, PA); 3D Accuitomo FPD80/ACCU (Morita, Kyoto, Japan); and NewTom VG/NEWV (QR srl)]. Two sets of volumetric data of a wax-imbedded dry human skull (containing a titanium implant) were acquired by each CBCT unit at two sessions on separate days. Each session consisted 21 exposures: 1 "initial" followed by a 30-min interval (initial data set), 10 acquired with 30-min TBE (data sets 1-10) and 10 acquired with 15-min TBE (data sets 11-20). CBCT data were exported as digital imaging and communications in medicine files and converted to text files containing x, y and z positions and grey shade for each voxel. Subtractions were performed voxel-by-voxel in two set-ups: (1) between two consecutive data sets and (2) between any subsequent data set and data set 1. The mean grey shade variation for each voxel was calculated for each unit/session.
RESULTS: The largest mean grey shade variation was found in the subtraction set-up 2 (27-447 shades of grey, depending on the unit). Considering subtraction set-up 1, the highest variation was seen for NEW5, between data sets 1 and the initial.
CONCLUSIONS: Discrepancies in voxel value distribution were found by comparing the initial examination of the day with the subsequent examinations. TBE had no predictable effect on the variation of CBCT-derived voxel values. AMORe ranged between 0 and 64.

Entities:  

Keywords:  cone beam CT; grey shade distribution; voxel value

Mesh:

Year:  2014        PMID: 25354021      PMCID: PMC4614169          DOI: 10.1259/dmfr.20140283

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


  17 in total

1.  Reduction of the negative influence of patient motion on quality of CBCT scan.

Authors:  Tomáš Hanzelka; René Foltán; Edita Horká; Jiří Sedý
Journal:  Med Hypotheses       Date:  2010-08-30       Impact factor: 1.538

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

Review 4.  Artefacts in CBCT: a review.

Authors:  R Schulze; U Heil; D Gross; D D Bruellmann; E Dranischnikow; U Schwanecke; E Schoemer
Journal:  Dentomaxillofac Radiol       Date:  2011-07       Impact factor: 2.419

5.  How accurate is CBCT in measuring bone density? A comparative CBCT-CT in vitro study.

Authors:  Michele Cassetta; Luigi Vito Stefanelli; Andrea Pacifici; Luciano Pacifici; Ersilia Barbato
Journal:  Clin Implant Dent Relat Res       Date:  2013-01-07       Impact factor: 3.932

6.  Cone beam CT scans with and without artefact reduction in root fracture detection of endodontically treated teeth.

Authors:  B Bechara; C Alex McMahan; W S Moore; M Noujeim; F B Teixeira; H Geha
Journal:  Dentomaxillofac Radiol       Date:  2013-03-21       Impact factor: 2.419

7.  A quality assurance framework for the fully automated and objective evaluation of image quality in cone-beam computed tomography.

Authors:  Christian Steiding; Daniel Kolditz; Willi A Kalender
Journal:  Med Phys       Date:  2014-03       Impact factor: 4.071

8.  Variation in voxel value distribution and effect of time between exposures in six CBCT units.

Authors:  R Spin-Neto; E Gotfredsen; A Wenzel
Journal:  Dentomaxillofac Radiol       Date:  2014-02-03       Impact factor: 2.419

Review 9.  Ambiguity in bone tissue characteristics as presented in studies on dental implant planning and placement: a systematic review.

Authors:  Rejane Faria Ribeiro-Rotta; Christina Lindh; Andrea Castro Pereira; Madeleine Rohlin
Journal:  Clin Oral Implants Res       Date:  2010-12-02       Impact factor: 5.977

10.  Working with DICOM craniofacial images.

Authors:  Dan Grauer; Lucia S H Cevidanes; William R Proffit
Journal:  Am J Orthod Dentofacial Orthop       Date:  2009-09       Impact factor: 2.650

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  3 in total

1.  An ex vivo study of automated motion artefact correction and the impact on cone beam CT image quality and interpretability.

Authors:  Rubens Spin-Neto; Louise H Matzen; Lars W Schropp; Thomas S Sørensen; Ann Wenzel
Journal:  Dentomaxillofac Radiol       Date:  2018-03-22       Impact factor: 2.419

2.  Impact of movement and motion-artefact correction on image quality and interpretability in CBCT units with aligned and lateral-offset detectors.

Authors:  Gustavo Machado Santaella; Ann Wenzel; Francisco Haiter-Neto; Pedro Luiz Rosalen; Rubens Spin-Neto
Journal:  Dentomaxillofac Radiol       Date:  2019-09-24       Impact factor: 2.419

3.  Efficacy of radiographic density values of the first and second cervical vertebrae recorded by CBCT technique to identify patients with osteoporosis and osteopenia.

Authors:  Farzad Esmaeli; Salar Payahoo; Majid Mobasseri; Masoome Johari; Javad Yazdani
Journal:  J Dent Res Dent Clin Dent Prospects       Date:  2017-09-20
  3 in total

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