A patient-centric approach to quality control and dosimetry in CT including CBCT

Gala, Hugo de las Heras; Schöfer, Felix; Schöfer, H; Casanueva, R.M. Sánchez; Zervides, Constantinos; Mair, K.; Al-Zoubi, Q.; Renger, Bernhard; Gala, Tanzeela; Schlattl, Helmut

doi:10.1016/j.ejmp.2018.02.005

Cited by 6 publications

(5 citation statements)

References 20 publications

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“…As such, most CBCT systems display a predetermined DAP value based on the given arrangement of scanning parameters, and the IEC states that dental extraoral x-ray imaging systems (including panoramic, cephalometric, and CBCT systems) must display values for DAP. 69 Note that DAP is not typically displayed on MDCT systems, making comparisons between the two modalities difficult. However, most of the dental CBCT manufacturers display DAP as the only dose index.…”

Section: 32mentioning

confidence: 99%

“…A similar methodology has been used to measure entrance K air for a reference patient. 69 When measuring K air , care must be taken to ensure proper dosimeter positioning. In many cases, the beam geometry is offset and not symmetrical in the axial plane; at each projection, only approximately half of the FOV is imaged, while the other half is captured when the x-ray tube moves to the opposite position.…”

Section: 33mentioning

confidence: 99%

“…Because CBCT systems typically use fixed parameters during scans, DAP is not usually measured dynamically during clinical operation as is typically done on fluoroscopic equipment configured with dose display (as required under the federal performance standards for newer fluoroscopic equipment). As such, most CBCT systems display a predetermined DAP value based on the given arrangement of scanning parameters, and the IEC states that dental extraoral x‐ray imaging systems (including panoramic, cephalometric, and CBCT systems) must display values for DAP 69 . Note that DAP is not typically displayed on MDCT systems, making comparisons between the two modalities difficult.…”

Section: Acceptance Testing and Qcmentioning

confidence: 99%

“…These measurements of K air can be monitored alongside displayed values for DAP as a means of tracking the radiation output of the device over time. A similar methodology has been used to measure entrance K air for a reference patient 69 …”

Section: Acceptance Testing and Qcmentioning

confidence: 99%

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AAPM Task Group Report 261: Comprehensive quality control methodology and management of dental and maxillofacial cone beam computed tomography (CBCT) systems

Mihailidis,

Stratis,

Gingold

et al. 2024

Medical Physics

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Cone‐beam computed tomography (CBCT) systems specifically designed and manufactured for dental, maxillofacial imaging (MFI) and otolaryngology (OLR) applications have been commercially available in the United States since 2001 and have been in widespread clinical use since. Until recently, there has been a lack of professional guidance available for medical physicists about how to assess and evaluate the performance of these systems and about the establishment and management of quality control (QC) programs. The owners and users of dental CBCT systems may have only a rudimentary understanding of this technology, including how it differs from conventional multidetector CT (MDCT) in terms of acceptable radiation safety practices. Dental CBCT systems differ from MDCT in several ways and these differences are described. This report provides guidance to medical physicists and serves as a basis for stakeholders to make informed decisions regarding how to manage and develop a QC program for dental CBCT systems. It is important that a medical physicist with experience in dental CBCT serves as a resource on this technology and the associated radiation protection best practices. The medical physicist should be involved at the pre‐installation stage to ensure that a CBCT room configuration allows for a safe and efficient workflow and that structural shielding, if needed, is designed into the architectural plans. Acceptance testing of new installations should include assessment of mechanical alignment of patient positioning lasers and x‐ray beam collimation and benchmarking of essential image quality performance parameters such as image uniformity, noise, contrast‐to‐noise ratio (CNR), spatial resolution, and artifacts. Several approaches for quantifying radiation output from these systems are described, including simply measuring the incident air‐kerma (Kair) at the entrance surface of the image receptor. These measurements are to be repeated at least annually as part of routine QC by the medical physicist. QC programs for dental CBCT, at least in the United States, are often driven by state regulations, accreditation program requirements, or manufacturer recommendations.

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Section: 32mentioning

confidence: 99%

Section: 33mentioning

confidence: 99%

Section: Acceptance Testing and Qcmentioning

confidence: 99%

Section: Acceptance Testing and Qcmentioning

confidence: 99%

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AAPM Task Group Report 261: Comprehensive quality control methodology and management of dental and maxillofacial cone beam computed tomography (CBCT) systems

Mihailidis,

Stratis,

Gingold

et al. 2024

Medical Physics

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“…The main goal of quality assurance is to ensure the accuracy of the diagnosis while minimizing the radiation dose [14][15][16][17][18][19][20][21][22] . From a diagnostic perspective, one of the most important tasks determining image quality is detectability.…”

Section: Introductionmentioning

confidence: 99%

Detectability assessment of an x-ray imaging system using the nodes in a wavelet packet decomposition of a star-bar object

González-López

2020

Preprint

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Purpose: Using linear transformation of the data allows studying detectability of an imaging system on a large number of signals. An appropriate transformation will produce a set of signals with different contrast and different frequency contents. In this work both strategies are explored to present a task-based test for the detectability of an x-ray imaging system. Methods: Images of a new star-bar phantom are acquired with different entrance air KERMA and with different beam qualities. Then, after a wavelet packet is applied to both input and output of the system, conventional statistical decision theory is applied to determine detectability on the different images or nodes resulting from the transformation. A nonprewhitening matching filter is applied to the data in the spatial domain, and ROC analysis is carried out in each of the nodes. Results: AUC maps resulting from the analysis present the area under the ROC curve over the whole 2D frequency space for the different doses and beam qualities. Also, AUC curves, obtained by radially averaging the AUC maps allows comparing detectability of the different techniques as a function of the frequency in one only figure. The results obtained show differences between images acquired with different doses for each of the beam qualities analyzed. Conclusions: Combining a star-bar as test object, a wavelet packet as linear transformation, and ROC analysis results in an appropriate task-based test for detectability performance of an imaging system. The test presented in this work allows quantification of system detectability as a function of the 2D frequency interval of the signal to detect. It also allows calculation of detectability differences between different acquisition techniques and beam qualities.

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Outcomes of different radioprotective precautions in children undergoing dental radiography: a systematic review

Acker

Pauwels

Cauwels

et al. 2020

Eur Arch Paediatr Dent

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A patient-centric approach to quality control and dosimetry in CT including CBCT

Cited by 6 publications

References 20 publications

AAPM Task Group Report 261: Comprehensive quality control methodology and management of dental and maxillofacial cone beam computed tomography (CBCT) systems

AAPM Task Group Report 261: Comprehensive quality control methodology and management of dental and maxillofacial cone beam computed tomography (CBCT) systems

Detectability assessment of an x-ray imaging system using the nodes in a wavelet packet decomposition of a star-bar object

Outcomes of different radioprotective precautions in children undergoing dental radiography: a systematic review

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