Louise Hauge Matzen

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

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avisTidsskriftartikelForskningpeer review

Standard

An ex vivo study of automated motion artefact correction and the impact on cone beam CT image quality and interpretability. / Spin-Neto, Rubens; Matzen, Louise H; Schropp, Lars W; Sørensen, Thomas S; Wenzel, Ann.

I: Dentomaxillofacial Radiology, Bind 47, Nr. 5, 20180013, 2018.

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avisTidsskriftartikelForskningpeer review

Harvard

APA

CBE

MLA

Vancouver

Author

Bibtex

@article{5b08115b76bc43dc84672474461da801,
title = "An ex vivo study of automated motion artefact correction and the impact on cone beam CT image quality and interpretability",
abstract = "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.",
keywords = "Cone beam CT, Image quality, Motion artefacts, Patient movement, HEAD MOVEMENTS, SIMULATION, COMPUTED-TOMOGRAPHY, cone beam CT, image quality, REDUCTION, CBCT SCAN, PATIENT MOVEMENT, patient movement, TRACKING SYSTEM, motion artefacts, VIDEO OBSERVATION, Head Movements, Humans, Artifacts, Radiographic Image Enhancement/methods, In Vitro Techniques, Cone-Beam Computed Tomography/methods, Models, Anatomic",
author = "Rubens Spin-Neto and Matzen, {Louise H} and Schropp, {Lars W} and S{\o}rensen, {Thomas S} and Ann Wenzel",
year = "2018",
doi = "10.1259/dmfr.20180013",
language = "English",
volume = "47",
journal = "Dentomaxillofacial Radiology",
issn = "0250-832X",
publisher = "British Institute of Radiology",
number = "5",

}

RIS

TY - JOUR

T1 - An ex vivo study of automated motion artefact correction and the impact on cone beam CT image quality and interpretability

AU - Spin-Neto, Rubens

AU - Matzen, Louise H

AU - Schropp, Lars W

AU - Sørensen, Thomas S

AU - Wenzel, Ann

PY - 2018

Y1 - 2018

N2 - 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.

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 (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.

KW - Cone beam CT

KW - Image quality

KW - Motion artefacts

KW - Patient movement

KW - HEAD MOVEMENTS

KW - SIMULATION

KW - COMPUTED-TOMOGRAPHY

KW - cone beam CT

KW - image quality

KW - REDUCTION

KW - CBCT SCAN

KW - PATIENT MOVEMENT

KW - patient movement

KW - TRACKING SYSTEM

KW - motion artefacts

KW - VIDEO OBSERVATION

KW - Head Movements

KW - Humans

KW - Artifacts

KW - Radiographic Image Enhancement/methods

KW - In Vitro Techniques

KW - Cone-Beam Computed Tomography/methods

KW - Models, Anatomic

U2 - 10.1259/dmfr.20180013

DO - 10.1259/dmfr.20180013

M3 - Journal article

C2 - 29537303

VL - 47

JO - Dentomaxillofacial Radiology

JF - Dentomaxillofacial Radiology

SN - 0250-832X

IS - 5

M1 - 20180013

ER -