An automatic MRI quality control procedure: Multisite reports for slice thickness and geometric accuracy

Sewonu, A.; Hossu, G.; Felblinger, Jacques; Anxionnat, René; Pasquier, Claude

doi:10.1016/j.irbm.2013.07.008

Cited by 4 publications

(3 citation statements)

References 10 publications

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“…Additionally, the choice of measuring the geometric accuracy on two slices within a defined volume of 105 mm had obvious limitations. Sewonu et al [26] proposed the measurement of the phantom diameter on all eleven slices so that the influence of the phantom position on MR distortions could be objectively assessed. The recommendation for MRI in RT applications is that, standard QA procedures should include a large FoV geometric accuracy phantom in order to adequately quantify distortions.…”

Section: Discussionmentioning

confidence: 99%

“…International bodies such as the American College of Radiology (ACR) [19] and American Association of Physicists in Medicine (AAPM) [20] have given reference guidance on acceptance testing, commissioning and regular QA routines for clinical MRI scanners. The MRI QA test guidance from the ACR with its associated custom-designed phantom has become an important reference for routine MRI QA after acceptance into the ACR accreditation program [21] , [22] , [23] , [24] , [25] , [26] . The ACR protocol evaluates geometric accuracy, high-contrast spatial resolution, low-contrast object detectability, ghosting, image intensity uniformity, slice thickness and slice position accuracy [19] .…”

Section: Introductionmentioning

confidence: 99%

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Sensitivity analysis of different quality assurance methods for magnetic resonance imaging in radiotherapy

Adjeiwaah

Garpebring

Nyholm

2020

Physics and Imaging in Radiation Oncology

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Background and purpose: There are currently no standard quality assurance (QA) methods for magnetic resonance imaging (MRI) in radiotherapy (RT). This work was aimed at evaluating the ability of two QA protocols to detect common events that affect quality of MR images under RT settings. Materials and methods: The American College of Radiology (ACR) MRI QA phantom was repeatedly scanned using a flexible coil and action limits for key image quality parameters were derived. Using an exploratory survey, issues that reduce MR image quality were identified. The most commonly occurring events were introduced as provocations to produce MR images with degraded quality. From these images, detection sensitivities of the ACR MRI QA protocol and a commercial geometric accuracy phantom were determined. Results: Machine-specific action limits for key image quality parameters set at ± mean 3 were comparable with the ACR acceptable values. For the geometric accuracy phantom, provocations from uncorrected gradient nonlinearity effects and a piece of metal in the bore of the scanner resulted in worst distortions of 22.2 mm and 3.4 mm, respectively. The ACR phantom was sensitive to uncorrected signal variations, electric interference and a piece of metal in the bore of the scanner but could not adequately detect individual coil element failures. Conclusions: The ACR MRI QA phantom combined with the large field-of-view commercial geometric accuracy phantom were generally sensitive in identifying some common MR image quality issues. The two protocols when combined may provide a tool to monitor the performance of MRI systems in the radiotherapy environment.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Sensitivity analysis of different quality assurance methods for magnetic resonance imaging in radiotherapy

Adjeiwaah

Garpebring

Nyholm

2020

Physics and Imaging in Radiation Oncology

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“…In MRI, several issues may induce these distortions [1][2][3]. These sources of distortions can be analyzed from intrinsic and extrinsic points of view.…”

Section: Introductionmentioning

confidence: 99%

A new phantom to assess and correct geometrical distortions for Magnetic Resonance Imaging: Design and preliminary experiments

Vermandel¹,

Betrouni²

2015

IRBM

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Purpose: Nowadays, many focal therapies use Magnetic Resonance (MR) imaging for treatment planning purpose. In this context, geometric distortions should be as low as possible. In this paper, we present a new device to assess image distortions in MRI.Methods: The phantom consists of a stack of plates made of Polymethyl Methacrylate (PMMA). The detection elements are balls forming MRI capsules and delimiting an internal volume filled with paraffin oil. When imaged, this system enables having a regular pattern with the same distance in the three space directions between each capsule center of mass.Correction of the distortions is done using a registration of the detected balls pattern with the theoretical pattern. Iterative Closest Points (ICP) algorithm is used for thus purpose.Results: Preliminary evaluations on different MR sequences have been conducted, the combination of device and ICP-based correction method shows the feasibility of the approach.Conclusion: From the promising preliminary results obtained, future developments will include an upgrade of the phantom and the implementation of more sophisticated correction algorithms.

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Quality assurance and temporal stability of a 1.5 T MRI scanner for MR-guided Photon and Particle Therapy

Dorsch

Paul

Beyer

et al. 2023

Zeitschrift für Medizinische Physik

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An automatic MRI quality control procedure: Multisite reports for slice thickness and geometric accuracy

Cited by 4 publications

References 10 publications

Sensitivity analysis of different quality assurance methods for magnetic resonance imaging in radiotherapy

Sensitivity analysis of different quality assurance methods for magnetic resonance imaging in radiotherapy

A new phantom to assess and correct geometrical distortions for Magnetic Resonance Imaging: Design and preliminary experiments

Quality assurance and temporal stability of a 1.5 T MRI scanner for MR-guided Photon and Particle Therapy

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