Development and validation of a novel large field of view phantom and a software module for the quality assurance of geometric distortion in magnetic resonance imaging

Torfeh, Tarraf; Hammoud, R.; McGarry, M.; Al-Hammadi, Noora; Perkins, G.

doi:10.1016/j.mri.2015.04.003

Cited by 34 publications

(58 citation statements)

References 16 publications

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“…Other phantoms include that used by participants in the Alzheimer's Disease Neuroimaging Initiative (ADNI) to assess scanner performance for multicenter trials and the fBIRN phantom, which is widely used for characterizing MR scanner performance specific to functional MRI studies. Special‐purpose phantoms have been employed for other QC applications, for example, to assess imaging methods such as diffusion MRI, to assess image‐processing tools, and to evaluate image distortion or artifact . The ACR phantom itself is also used for QC programs other than those mandated under the ACR accreditation program …”

Section: Discussionmentioning

confidence: 99%

On replacing the manual measurement of ACR phantom images performed by MRI technologists with an automated measurement approach

Panych

Chiou

Qin

et al. 2015

J. Magn. Reson. Imaging

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Section: Discussionmentioning

confidence: 99%

On replacing the manual measurement of ACR phantom images performed by MRI technologists with an automated measurement approach

Panych

Chiou

Qin

et al. 2015

J. Magn. Reson. Imaging

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“…3D MRI distortion was simulated based on sparsely measured MRI distortion data reported in the literature . All MR images are expected to be distortion corrected using vendor's correction algorithms prior to any radiation therapy application.…”

Section: Methodsmentioning

confidence: 99%

“…Therefore, the simulated MRI distortion here refers to the residual MRI distortion, which is of concerned in MRI‐based treatment planning. Table summarizes the sparsely measured residual MRI distortion data used in their study . These data were measured on phantoms and were the averaged values of multiple investigated MRI sequences, including 2D Axial T1 FSE, 2D Axial T2 FRFSE, 3D CUBE T1, 3D CUBE T2, and 3D T1 3D SPGR.…”

Section: Methodsmentioning

confidence: 99%

“…MRI‐based treatment planning is a promising technique for liver SBRT, improving target volume delineation accuracy and reducing radiation dose to the OARs. However, MRI geometric distortion is a known important concern in MRI‐based treatment planning and may cause dosimetric uncertainties, which is especially critical for liver SBRT due to its hypofractionation. It is therefore the goal of this study to quantitatively evaluate the dosimetric uncertainties caused by MR geometric distortion in MRI‐based liver SBRT treatment planning.…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of dosimetric uncertainty caused by MR geometric distortion in MRI‐based liver SBRT treatment planning

Han

Yin

Cai

2019

J Applied Clin Med Phys

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Purpose MRI‐based treatment planning is a promising technique for liver stereotactic‐body radiation therapy (SBRT) treatment planning to improve target volume delineation and reduce radiation dose to normal tissues. MR geometric distortion, however, is a source of potential error in MRI‐based treatment planning. The aim of this study is to investigate dosimetric uncertainties caused by MRI geometric distortion in MRI‐based treatment planning for liver SBRT.Materials and MethodsThe study was conducted using computer simulations. 3D MR geometric distortion was simulated using measured data in the literature. Planning MR images with distortions were generated by integrating the simulated 3D MR geometric distortion onto planning CT images. MRI‐based treatment plans were then generated on the planning MR images with two dose calculation methods: (1) using original CT numbers; and (2) using organ‐specific assigned CT numbers. Dosimetric uncertainties of various dose‐volume‐histogram parameters were determined as their differences between the simulated MRI‐based plans and the original clinical CT‐based plans for five liver SBRT cases.ResultsThe average simulated distortion for the five liver SBRT cases was 2.77 mm. In the case of using original CT numbers for dose calculation, the average dose uncertainties for target volumes and critical structures were <0.5 Gy, and the average target volume percentage at prescription dose uncertainties was 0.97%. In the case of using assigned CT numbers, the average dose uncertainties for target volumes and critical structures were <1.0 Gy, and the average target volume percentage at prescription dose uncertainties was 2.02%.ConclusionsDosimetric uncertainties caused by MR geometric distortion in MRI‐based liver SBRT treatment planning was generally small (<1 Gy) when the distortion is 3 mm.

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“…Several studies have been carried out on assessing MR system related geometric accuracy in static mode. [16][17][18][19][20][21][22][23][24][25][26] However, even though commercial platforms for motion management have been recently developed, 27,28 none of these studies dealt with the geometric accuracy of the MR sequences used for retrospective reconstruction of data acquired during breathing motion.…”

Section: Introductionmentioning

confidence: 99%

Geometric accuracy of the MR imaging techniques in the presence of motion

Torfeh

Hammoud

Kaissi

et al. 2018

J Applied Clin Med Phys

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Magnetic Resonance Imaging (MRI) is increasingly being used for improving tumor delineation and tumor tracking in the presence of respiratory motion. The purpose of this work is to design and build an MR compatible motion platform and to use it for evaluating the geometric accuracy of MR imaging techniques during respiratory motion. The motion platform presented in this work is composed of a mobile base made up of a flat plate and four wheels. The mobile base is attached from one end and through a rigid rod to a synchrony motion table by Accuray® placed at the end of the MRI table and from the other end to an elastic rod. The geometric accuracy was measured by placing a control point‐based phantom on top of the mobile base.In‐house software module was used to automatically assess the geometric distortion. The blurring artifact was also assessed by measuring the Full Width Half Maximum (FWHM) of each control point. Our results were assessed for 50, 100, and 150 mm radial distances, with a mean geometric distortion during the superior–inferior motion of 0.27, 0.41, and 0.55 mm, respectively. Adding the anterior–posterior motion, the mean geometric distortions increased to 0.4, 0.6, and 0.8 mm. Blurring was observed during motion causing an increase in the FWHM of ≈30%. The platform presented in this work provides a valuable tool for the assessment of the geometric accuracy and blurring artifact for MR during motion. Although the main objective was to test the spatial accuracy of an MR system during motion, the modular aspect of the presented platform enables the use of any commercially available phantom for a full quality control of the MR system during motion.

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Development and validation of a novel large field of view phantom and a software module for the quality assurance of geometric distortion in magnetic resonance imaging

Cited by 34 publications

References 16 publications

On replacing the manual measurement of ACR phantom images performed by MRI technologists with an automated measurement approach

On replacing the manual measurement of ACR phantom images performed by MRI technologists with an automated measurement approach

Evaluation of dosimetric uncertainty caused by MR geometric distortion in MRI‐based liver SBRT treatment planning

Geometric accuracy of the MR imaging techniques in the presence of motion

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