PMID- 29537303
OWN - NLM
STAT- MEDLINE
DCOM- 20180918
LR  - 20230928
IS  - 0250-832X (Print)
IS  - 1476-542X (Electronic)
IS  - 0250-832X (Linking)
VI  - 47
IP  - 5
DP  - 2018 Jul
TI  - An ex vivo study of automated motion artefact correction and the impact on cone 
      beam CT image quality and interpretability.
PG  - 20180013
LID - 10.1259/dmfr.20180013 [doi]
LID - 20180013
AB  - OBJECTIVES: To assess the impact of head motion artefacts and an automated 
      artefact-correction system on cone beam CT (CBCT) image quality and 
      interpretability for simulated diagnostic tasks. METHODS: A partially dentate 
      human skull was mounted on a robot simulating four types of head movement 
      (anteroposterior translation, nodding, lateral rotation, and tremor), at three 
      distances (0.75, 1.5, and 3 mm) based on two movement patterns (skull 
      returning/not returning to the initial position). Two diagnostic tasks were 
      simulated: dental implant planning and detection of a periapical lesion. Three 
      CBCT units were used to examine the skull during the movements and no-motion 
      (control): Cranex 3Dx (CRA), Orthophos SL 3D (ORT), and X1 without (X1(wo)) and 
      with (X1(wi)) an automated motion artefact-correction system. For each diagnostic 
      task, 88 examinations were performed. Three observers, blinded to unit and 
      movement, scored image quality: presence of stripe artefacts (present/absent), 
      overall unsharpness (present/absent), and image interpretability 
      (interpretable/non-interpretable). kappa statistics assessed interobserver agreement, 
      and descriptive statistics summarized the findings. RESULTS: Interobserver 
      agreement for image interpretability was good (average kappa = 0.68). Regarding 
      dental implant planning, X1(wi) images were interpretable by all observers, while 
      for the other units mainly the cases with tremor were non-interpretable. 
      Regarding detection of a periapical lesion, besides tremor, most of the 3 mm 
      movements based on the "not returning" pattern were also non-interpretable for 
      CRA, ORT, and X1(wo). For X1(wi), two observers scored 1.5 mm tremor and one 
      observer scored 3 mm tremor as non-interpretable. CONCLUSIONS: The automated 
      motion artefact-correction system significantly enhanced CBCT image quality and 
      interpretability.
FAU - Spin-Neto, Rubens
AU  - Spin-Neto R
AD  - 1 Oral Radiology, Department of Dentistry and Oral Health, Aarhus University , 
      Aarhus , Denmark.
FAU - Matzen, Louise H
AU  - Matzen LH
AD  - 1 Oral Radiology, Department of Dentistry and Oral Health, Aarhus University , 
      Aarhus , Denmark.
FAU - Schropp, Lars W
AU  - Schropp LW
AD  - 1 Oral Radiology, Department of Dentistry and Oral Health, Aarhus University , 
      Aarhus , Denmark.
FAU - Sorensen, Thomas S
AU  - Sorensen TS
AD  - 2 3Shape , Copenhagen , Denmark.
FAU - Wenzel, Ann
AU  - Wenzel A
AD  - 1 Oral Radiology, Department of Dentistry and Oral Health, Aarhus University , 
      Aarhus , Denmark.
LA  - eng
PT  - Journal Article
DEP - 20180322
PL  - England
TA  - Dentomaxillofac Radiol
JT  - Dento maxillo facial radiology
JID - 7609576
MH  - *Artifacts
MH  - Cone-Beam Computed Tomography/*methods
MH  - *Head Movements
MH  - Humans
MH  - In Vitro Techniques
MH  - Models, Anatomic
MH  - Radiographic Image Enhancement/*methods
PMC - PMC6196041
EDAT- 2018/03/15 06:00
MHDA- 2018/09/19 06:00
PMCR- 2019/07/01
CRDT- 2018/03/15 06:00
PHST- 2018/03/15 06:00 [pubmed]
PHST- 2018/09/19 06:00 [medline]
PHST- 2018/03/15 06:00 [entrez]
PHST- 2019/07/01 00:00 [pmc-release]
AID - 10.1259/dmfr.20180013 [doi]
PST - ppublish
SO  - Dentomaxillofac Radiol. 2018 Jul;47(5):20180013. doi: 10.1259/dmfr.20180013. Epub 
      2018 Mar 22.