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 (X1wo) and with (X1wi) 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). κ statistics assessed interobserver agreement, and descriptive statistics summarized the findings. RESULTS: Interobserver agreement for image interpretability was good (average κ = 0.68). Regarding dental implant planning, X1wiimages 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 X1wo. For X1wi, 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.


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    Title :

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


    Contributors:

    Publication date :

    2018-01-01


    Remarks:

    Spin-Neto , R , Matzen , L H , Schropp , L W , Sørensen , T S & Wenzel , A 2018 , ' An ex vivo study of automated motion artefact correction and the impact on cone beam CT image quality and interpretability ' , Dentomaxillofacial Radiology , vol. 47 , no. 5 , 20180013 . https://doi.org/10.1259/dmfr.20180013



    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    629



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