Measurement of magnetic susceptibility of commonly implanted metals from commercial prostheses
Matthew Robert Smith1, Jin Jung Kweon2, Eun Sang Choi2, Curtis Wiens1, Nathan Artz3, and Scott B Reeder1,4

1Radiology, University of Wisconsin, Madison, WI, United States, 2Florida State University, Tallahassee, FL, United States, 3St. Jude's Children's Hospital, Memphis, TN, United States, 4Medical Physics, University of Wisconsin, Madison, WI, United States

Synopsis

Despite important recent development, further progress of MR imaging around metallic prostheses is dependent on the ability to model the field perturbations surrounding the prostheses. These calculations require knowledge of the magnetic susceptibility of the metal which is not reported by the manufacturers. The purpose of this work was to estimate the magnetic susceptibility of commonly implanted metal alloys by measuring the magnetic moment across a range of clinical field strengths (0-5 Tesla) using a SQUID (Superconducting QUantum Interference Device) magnetometer. Linearity of the susceptibility across field strengths was also assessed.

Purpose

There has been significant advancement in the ability to perform MR imaging around metallic prostheses1-3. Accurate modeling of the large field perturbations induced by the metal is essential for the design and optimization of MRI acquisition and reconstruction strategies near metallic implants4. These field perturbations are affected by composition (magnetic susceptibility of implant), geometry, orientation relative to the main magnetic field, and field strength. While the magnetic susceptibility values of pure metals are well understood5, manufacturers do not provide susceptibility values for specific commercial implantable alloys. The purpose of this work was to estimate the magnetic susceptibility of commonly implanted metal alloys by measuring the magnetic moment across a range of clinical field strengths (0-5 Tesla) using a SQUID (Superconducting QUantum Interference Device) magnetometer.

Methods

Representative samples of popular total hip and knee metallic prostheses (Figure 1, Table 1) were obtained from an orthopedic manufacturer (Zimmer Biomet, Warsaw, ID) and sent to the National High Magnetic Field Laboratory (Tallahassee, FL). Sample preparation included cutting to a desired shape (~6x6x6 mm3) by electrical discharge machining (samples 1-5) or by milling (sample 6) and washing with dilute acid to remove any ferromagnetic contamination introduced during the cutting process. Samples 1-5 were treated in a 5% HCl solution for 1 hour to remove any residue. Sample 5 was additionally treated for 24 hours. Sample 6 was washed with ethanol. The rough and porous surface of Samples 2 and 3 required multiple washing and drying cycles to achieve a steady mass over time (washing: deionized water, 2 hours; drying: dry box, 1 week). Sample masses were recorded before and after the washing process and no significant changes were observed.

The measurements of the magnetic moments were conducted using a Quantum Design, MPMS-5 SQUID magnetometer. The magnetic moment of each sample was measured at 310 K (normal body temperature) as the field strength swept from 0 to 5 Tesla and back down to -0.2 Tesla. Measurements were then normalized by the respective masses. Mass susceptibility was taken as the slope of the averages of the linear fit done for both up and down sweeps. The following equation allowed conversion of mass susceptibility (χg) to volume ppm susceptibility: χppm = χg * ρ * 4π * 106 (multiplied by: ρ (density) for volume susceptibility, 4π for SI quantity, 106 for ppm).

Results

The magnetic moments of the measured alloys and plastic demonstrated a linear dependence up to 5 T (Figure 2). The magnetization of the Co-Cr-Mo alloys compared to the Ti-6Al-4V alloys were approximately double. Sample 1, 2, 3, 4, and 5 demonstrated paramagnetism (positive linear) while Sample 6 (UHMWPE) demonstrated diamagnetism (negative linear). The magnetic susceptibility values for the samples are shown in Table 1.

Discussion and Conclusion

This work estimated the magnetic susceptibility of several commonly implanted metallic alloys across a range of field strengths using a SQUID magnetometer. The reported susceptibility values were noted to differ with values used previously in the literature that were obtained by estimation with MRI6-7. Furthermore, a commonly made assumption regarding the linearity of magnetization across clinically relevant field strengths was experimentally validated.

Acknowledgements

The authors are grateful to the National High Magnetic Field Laboratory for their assistance in susceptibility measurements and Zimmer Biomet for providing the samples. The authors also wish to acknowledge support from the NIH (UL1TR00427), as well as GE Healthcare for their support.

References

1. Koch KM, Lorbiecki JE, Hinks RS, King KF. A multispectral three-dimensional acquisition technique for imaging near metal implants. Magn Reson Med 61, 381-390, doi:10.1002/mrm.21856 (2009).

2. Lu W, Pauly KB, Gold GE, Pauly JM, Hargreaves BA. SEMAC: Slice Encoding for Metal Artifact Correction in MRI. Magn Reson Med 62, 66-76, doi:10.1002/mrm.21967 (2009).

3. Artz NS, Hernando D, Taviani V, Samsonov A, Brittain JH, Reeder SB. Spectrally resolved fully phase-encoded three-dimensional fast spin-echo imaging. Magn Reson Med, doi:10.1002/mrm.24704 (2013).

4. Smith MR, Artz NS, Wiens C, Hernando D, Reeder SB. Characterizing the limits of MRI near metallic prostheses. Magn Reson Med, doi:10.1002/mrm.25540 (2014).

5. Schenck JF. The role of magnetic susceptibility in magnetic resonance imaging: MRI magnetic compatibility of the first and second kinds. Med Phys 23, 815-850 (1996).

6. Koch KM, Hinks RS. in Proceedings of the 16th Annual Meeting of the ISMRM 1180 (Toronto, Canada, 2008).

7. Bartusek K, Dokoupil Z, Gescheidtova E. Magnetic field mapping around metal implants using an asymmetric spin-echo MRI sequence. Measurement Science and Technology 17, 3293 (2006).

Figures

Commercially available prosthetic pieces obtained from manufacturer were cut to obtained appropriately sized samples for SQUID magnetometry. Sample materials are listed in Figure 3.

Magnetic moments were measured over a range of field strengths for each sample. The slope of the best fit line was converted to magnetic susceptibility and appeared linear for all materials. Sample 1, 2, 3, 4, and 5 demonstrated paramagnetism (positive linear) while Sample 6 (UHMWPE) demonstrated diamagnetism (negative linear).

The susceptibility values of all six were estimated using magnetic moments measured with SQUID magnetometry over a wide range of field strengths.



Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)
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