Literature DB >> 31530012

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

Gustavo Machado Santaella1, Ann Wenzel2, Francisco Haiter-Neto1, Pedro Luiz Rosalen3, Rubens Spin-Neto2.   

Abstract

OBJECTIVES: To evaluate the impact of movement and motion-artefact correction systems on CBCT image quality and interpretability of simulated diagnostic tasks for aligned and lateral-offset detectors.
METHODS: A human skull simulating three diagnostic tasks (implant planning in the anterior maxilla, implant planning in the left-side-mandible and mandibular molar furcation assessment in the right-side-mandible) was mounted on a robot performing six movement types. Four CBCT units were used: Cranex 3Dx (CRA), Ortophos SL (ORT), Promax 3D Mid (PRO), and X1. Protocols were tested with aligned (CRA, ORT, PRO, and X1) and lateral-offset (CRA and PRO) detectors and two motion-artefact correction systems (PRO and X1). Movements were performed at one moment-in-time (t1), for units with an aligned detector, and three moments-in-time (t1-first-half of the acquisition, t2-second-half, t3-both) for the units with a lateral-offset detector. 98 volumes were acquired. Images were scored by three observers, blinded to the unit and presence of movement, for motion-related stripe artefacts, overall unsharpness, and interpretability. Fleiss' κ was used to assess interobserver agreement.
RESULTS: Interobserver agreement was substantial for all parameters (0.66-0.68). For aligned detectors, in all diagnostic tasks a motion-artefact correction system influenced image interpretability. For lateral-offset detectors, the interpretability varied according to the unit and moment-in-time, in which the movement was performed. PRO motion-artefact correction system was less effective for the offset detector than its aligned counterpart.
CONCLUSION: Motion-artefact correction systems enhanced image quality and interpretability for units with aligned detectors but were less effective for those with lateral-offset detectors.

Entities:  

Keywords:  cone beam CT, patient movement; image quality; motion artifacts

Mesh:

Year:  2019        PMID: 31530012      PMCID: PMC6957066          DOI: 10.1259/dmfr.20190240

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


  20 in total

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Authors:  Roberto Molteni
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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.  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

4.  Patient movement characteristics and the impact on CBCT image quality and interpretability.

Authors:  Rubens Spin-Neto; Cláudio Costa; Daniela Mra Salgado; Nataly Rm Zambrana; Erik Gotfredsen; Ann Wenzel
Journal:  Dentomaxillofac Radiol       Date:  2017-10-20       Impact factor: 2.419

5.  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

6.  Detection of patient movement during CBCT examination using video observation compared with an accelerometer-gyroscope tracking system.

Authors:  Rubens Spin-Neto; Louise H Matzen; Lars Schropp; Erik Gotfredsen; Ann Wenzel
Journal:  Dentomaxillofac Radiol       Date:  2016-10-27       Impact factor: 2.419

7.  Cone beam CT image artefacts related to head motion simulated by a robot skull: visual characteristics and impact on image quality.

Authors:  R Spin-Neto; J Mudrak; L H Matzen; J Christensen; E Gotfredsen; A Wenzel
Journal:  Dentomaxillofac Radiol       Date:  2012-07-27       Impact factor: 2.419

Review 8.  Patient movement and motion artefacts in cone beam computed tomography of the dentomaxillofacial region: a systematic literature review.

Authors:  Rubens Spin-Neto; Ann Wenzel
Journal:  Oral Surg Oral Med Oral Pathol Oral Radiol       Date:  2015-12-19

9.  Evaluation of soft tissues simulant materials in cone beam computed tomography.

Authors:  Priscila A Lopes; Gustavo M Santaella; Carlos Augusto S Lima; Karla de Faria Vasconcelos; Francisco C Groppo
Journal:  Dentomaxillofac Radiol       Date:  2018-07-20       Impact factor: 2.419

10.  Influence of Head Motion on the Accuracy of 3D Reconstruction with Cone-Beam CT: Landmark Identification Errors in Maxillofacial Surface Model.

Authors:  Kyung-Min Lee; Jin-Myoung Song; Jin-Hyoung Cho; Hyeon-Shik Hwang
Journal:  PLoS One       Date:  2016-04-11       Impact factor: 3.240

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  5 in total

1.  Head motion during cone-beam computed tomography: Analysis of frequency and influence on image quality.

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2.  Objective assessment of the combined effect of exomass-related- and motion artefacts in cone beam CT.

Authors:  Matheus Lima Oliveira; Amanda P Candemil; Deborah Q Freitas; Francisco Haiter-Neto; Ann Wenzel; Rubens Spin-Neto
Journal:  Dentomaxillofac Radiol       Date:  2020-08-19       Impact factor: 2.419

Review 3.  Diagnosis of cracked teeth using cone-beam computed tomography: literature review and clinical experience.

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Journal:  Dentomaxillofac Radiol       Date:  2021-04-29       Impact factor: 3.525

4.  Dental imaging using an ultra-high resolution photon-counting CT system.

Authors:  Maurice Ruetters; Sinan Sen; Holger Gehrig; Thomas Bruckner; Ti-Sun Kim; Christopher J Lux; Heinz-Peter Schlemmer; Sarah Heinze; Joscha Maier; Marc Kachelrieß; Stefan Sawall
Journal:  Sci Rep       Date:  2022-05-03       Impact factor: 4.996

5.  Head motion and perception of discomfort by young children during simulated CBCT examinations.

Authors:  Rubens Spin-Neto; Louise Hauge Matzen; Louise Hermann; João Marcus de Carvalho E Silva Fuglsig; Ann Wenzel
Journal:  Dentomaxillofac Radiol       Date:  2020-10-30       Impact factor: 2.419

  5 in total

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