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RF-Induced Potential False-Negative Lesion in Breast T2-weighted MRI at 3T: Exploration of a Single-Channel kT-Points Solution
Raphael Tomi-Tricot1, Vincent Gras1, Thu Ha Dao2, Antoine Perrot2, Franck Mauconduit3, Nicolas Boulant1, Pierre Zerbib2, Alain Rahmouni2,4, Alexandre Vignaud1, Alain Luciani2,4,5, and Alexis Amadon1

1CEA/DRF/Joliot/NeuroSpin/UNIRS, Gif-sur-Yvette, France, 2Department of Radiology, AP-HP, CHU Henri Mondor, Créteil, France, 3Siemens Healthcare SAS, Saint-Denis, France, 4Université Paris-Est Créteil Val-de-Marne, Créteil, France, 5INSERM Unité U955, Equipe 18, Créteil, France

Synopsis

Breast MRI can benefit from the improved signal-to-noise ratio brought by high-field systems to achieve finer spatial or temporal resolutions. However, dielectric resonance associated with the shorter RF wavelength provokes inhomogeneous excitation in the tissues. In this work, it was shown that such artefacts can induce hyperintensity in T2-weighted images, thus potentially misleading clinicians into excluding malignancy in a lesion. A solution is proposed to reduce the RF artefact on 3D T2w acquisitions using single-transmit-channel kT-points, which could be used on any 3T scanner.

Introduction

A T2-weighted sequence is often used in conjunction with Dynamic Contrast-Enhanced (DCE) MRI, in order to help differentiating, in some cases, between benign and malignant breast lesions1–4: bright T2 hyperintensity (T2H) can indicate either a cyst, a fibroadenoma or an intramammary lymph node,5 and tends to exclude malignancy. In the last two cases, contrast enhancement can mimic that of malignant lesions. 3T MRI is widely recognized for its potential gain in signal-to-noise ratio, which can be used to improve spatial or temporal resolution. However, this gain can be hampered by locally inhomogeneous excitation due to dielectric resonance as the radiofrequency (RF) wavelength is shortened6. In this work, T2H clearly identified as related to B1+ inhomogeneity is reported, which could lead to false-negative interpretation (Figure 1). Solutions exist to reduce B1+ artefacts, such as dual-transmit RF systems6,7 or the use of dielectric pads7, but require either extra hardware or a dedicated setup. A method was proposed to address the problem in DCE-MRI sequences8, but not in T2-weighted imaging. This study first aims at analysing the impact of excitation inhomogeneity on T2-weighted acquisition breast imaging. Then, the kT-points9,10 pulse design method is proposed to reduce potential B1+ artefacts, with no need for parallel transmission (pTX).

Methods

Acquisitions were carried out on a single-transmit-channel MAGNETOM Verio 3T scanner equipped with TrueForm11 (Siemens Healthcare, Erlangen, Germany). An axial T2-weighted three-dimensional SPACE12,13 sequence (TR= 2800ms, TEeffective= 251ms, TEapparent= 90ms, ETL= 100, 256×256x104 matrix, 1.4×1.4×2.0mm3 resolution) with spectral adiabatic inversion recovery fat suppression was used. An occurrence of RF-related T2H has been seen on a 48-year-old subject (BMI= 21.3); T2H in the left breast is highlighted in Figure 1.

In order to estimate the contribution of RF inhomogeneity to this T2H, flip angle (FA) map simulations based on B1+ and Δf0 (Larmor frequency offset) maps acquired in vivo were performed via numerical integration of Bloch's equation. A FA map was estimated for the largest FA targeted in the refocusing train. SPACE signal simulation was run in every voxel by calculating magnetization rotations successively induced by each refocusing pulse in the train. Uniform breast tissue relaxation times were considered: T1/T2= 1500/50ms.14 The B1+ field map was acquired using a magnetisation-prepared turbo fast low angle shot sequence,15 at a 3x3x4mm3 isotropic resolution. The Δf0 map was acquired with a 2mm isotropic resolution. Three echoes were needed to extract both Δf0 and water/fat information, acquired over two 3D GRE sequences, with Dixon16 reconstruction (TE1/TE2/TE3= 1.23/2.10/2.46ms); Δf0 was calculated with the phase images from TE2 and TE3, using leverage from TE1 for more precision.

Finally, a Δf0-robust scalable 9-kT-point pulse was designed, with MATLAB’s built-in active-set algorithm, under energy and hardware constraints17–19 using Average Hamiltonian Theory.20 This tailored pulse was used for the 90° excitation (with a π/2 phase offset), and for all refocusing pulses20 (FA= 16° to 135°), which allowed a very quick pulse design (less than one minute). SPACE pulse optimisation was restricted to water voxels, as fat-selective saturation is used in the sequence. Simulated FA and signal were compared with those stemming from the default square pulse.

Results

Figure 2a shows the simulated FA map corresponding to the slice pictured in Figure 1. A zone of local FA overshoot (red circle) aligns with the highlighted T2H from Figure 1. Table 1 gathers FA and signal homogeneity results. The relative difference between the mean signal in a 20mm-diameter sphere centred on the left breast FA overshoot region and the mean signal in both breasts is reported in the rightmost column. RF inhomogeneity alone is accountable for a 12.6% T2H. Figure 2b and Table 1 report the FA map simulation for the kT-points pulse. KT-points substantially lower FA normalised root-mean-square error (NRMSE). Most importantly, this would translate into reduced RF-induced T2H.

Conclusion

These results point out potential misinterpretation in T2-weighted breast MRI due to RF inhomogeneity at 3T: even if the reported T2H is not solely RF-induced, the artefact could bring a lesion away from a malignancy threshold, thus implying a false-negative diagnosis. Given how not straightforward the SPACE signal is,13 here RF artefacts cannot be removed by post-processing. However, simulations showed that single-channel kT-points pulses, which can be implemented on any scanner, are promising in reducing RF-related inhomogeneity beforehand. They could of course benefit from, or even require pTX to enhance homogeneity sufficiently. Better anatomy-specific masking could also help improving the optimisation. An ongoing study aims at assessing single-channel kT-points in the breasts with actual acquisitions on a variety of subjects, for both T1-weighted DCE-MRI and T2-weighted imaging.

Acknowledgements

The authors wish to thank all the MRI technicians of Henri Mondor Hospital for their patience, understanding and helpful clinical advices. This project was funded by CEA’s Programme Transversal, Technologies pour la Santé (Transversal Programme for Health Technologies).

References

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8. Hsu Y-C, Littin S, Chu Y-H, Lin F-H, Zaitsev M. Uniform Flip Angle 3D Tailored Excitation for MR Breast Imaging at 3T. In: Proc Intl Soc Mag Reson Med [Internet]. Honolulu, HI, USA; 2017 [cited 2017 Jul 31]. p. 4927. Available from: http://indexsmart.mirasmart.com/ISMRM2017/PDFfiles/4927.html

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15. Fautz HP, Vogel M, Gross P, Kerr A, Zhu Y. B1 mapping of coil arrays for parallel transmission. In: Proceedings of the 16th Annual Meeting of ISMRM, Toronto, Canada [Internet]. 2008 [cited 2015 Oct 29]. p. 1247. Available from: http://cds.ismrm.org/ismrm-2008/files/01247.pdf

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Figures

Figure 1. In-vivo acquisitions using square pulses. Notice the presence of silicone-based prosthetics. T2-weighted SPACE with SPAIR fat-suppression. The selected slice highlights substantial hypersignal in the left breast (circle), which tends to exclude malignancy.

Figure 2. Flip angle (FA) simulations, based on actual B1+ and Δf0 maps, of the maximal FA pulse used in the SPACE refocusing train (135°). FAs were calculated in water voxels only, from (a) a 700-µs square pulse, and (b) a 9-kT-point pulse; the waveform was scaled and used for all refocusing pulses and for the 90° excitation. The 20mm-diameter sphere defining the ROI used to calculate hypersignal in Table 1 is shown in red on (a).

Table 1. Flip angle (FA) homogeneity simulation results, and SPACE signal simulation at effective TE. FAs were calculated in water voxels only. The ROI used for rightmost column is a 20mm-diameter sphere whose axial great circle is depicted in red on Figure 2. Values represent the relative difference between average SPACE signal in this ROI and in both breasts.

Proc. Intl. Soc. Mag. Reson. Med. 26 (2018)
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