Quantification of magnetic susceptibility fingerprint of a 3D linearity medical device. (July 2021)

• Record Type: Journal Article
• Authors: Stanescu, T.; Mousavi, S.H.; Cole, M.; Barberi, E.; Wachowicz, K.
• Is Part Of: Physica medica. Volume 87(2021)
• Page Start: 39
• Page End: 48
• Publication Date: 2021-07
• Subjects: Magnetic susceptibility -- Numerical simulations -- Finite difference method -- Harmonic analysis -- MR image distortions -- MR-guided radiation therapy; Medical physics -- Periodicals; Biophysics -- Periodicals; Biophysics -- Periodicals; Imagerie médicale -- Périodiques; Radiothérapie -- Périodiques; Rayons X -- Sécurité -- Mesures -- Périodiques; Physique -- Périodiques; Médecine -- Périodiques; 610.153
• DOI: 10.1016/j.ejmp.2021.05.023
• Languages: English
• ISSNs: 1120-1797

Abstract

Highlights: Modelling method for magnetic susceptibility effects applied to QA/QC devices. Approach demonstrated in the case of a 3D linearity phantom. Approach allows the phantom to characterize both GNL and B0 components. Allows B0 mapping measurements in extended FOVs. MR QA simplified with only two measurements and a single phantom. Abstract: Purpose: The study investigates the numerical modelling as well as experimental validation of magnetic susceptibility effects with respect to a 3D linearity phantom used for the quantification of MR image distortions. Methods: Magnetic field numerical simulations based on finite difference methods were conducted to generate the susceptibility ( χ ) model of the MRID 3D phantom. Experimental data was acquired and analyzed for eight different MR scanners to include a wide range of scanning parameters. Distortion vector fields were generated by applying a harmonic analysis based on finite elements methods. Phantom scans for the same setup but with opposite polarities of the frequency encoding gradient were processed in conjunction with the susceptibility modelling to separately quantify three field components due to gradient non-linearities (GNL), B0 inhomogeneities and χ perturbations. Results: The numerical modelling showed a significant range of χ value of up to 8.23 ppm, with a mean value of 2.9 ppm. The χ perturbations were found to be mostly present at the end plates of the cylindrical phantom design. The simulations also showed that setup rotations of up to 10° introduced only negligible variations in the χ model of less than 0.1 ppm. This allows for a straightforward practical implementation of the modelling as a single lookup table. After correcting for the χ perturbations, the B 0 inhomogeneities were derived and found to be in good agreement with either the MR system manufacturer specifications or experimental data available in the literature. Conclusions: It is possible to accurately model the magnetic susceptibility signature of a 3D linearity device and remove it as a post-processing correction step. This is important as the procedure unlocks the ability of determining both the GNL field and B0 map of the scanner without the need of extra acquisitions or phantoms.