Simultaneous quantitative susceptibility, PDFF and transversal relaxation time mapping in dystrophic skeletal muscle
Benjamin Leporq1,2, Arnaud Le Troter3, Yann Le fur3, Emmanuelle Salort-Campana4, Maxime Guye3, Olivier Beuf2, and David Bendahan3,5

1Center of Research on inflammation; Inserm U1149, Université Paris Diderot, Paris, France, 2CREATIS CNRS UMR 5220; Inserm U1044, Université de Lyon, Villeurbanne, France, 3CRMBM; CNRS UMR 7339, Aix-Marseille University, Marseille, France, 4Genetique Médicale et Génomique Fonctionelle; Inserm UMR S_910, Aix Marseille University, Marseille, France, 5CEMEREM, Hopital de la Timone, Pôle d’imagerie médicale, AP-HM, Marseille, France

Synopsis

We have developed a dedicated algorithm allowing to quantify, from a single MR acquisition fat and muscle fractions together with magnetic susceptibility and transverse relaxation time (T2*). This approach was linked to a dedicated segmentation algorithm allowing to quantify specific indices which could be of interest for the assessment of disease severity and progression. Our results showed the feasibility of quantitative susceptibility mapping (QSM) in thigh muscles and demonstrated that its implementation into the fat-water separation reconstruction pipeline is possible. For dystrophies assessment, magnetic susceptibility-related information might provide a useful supplementary materials in comparison to relaxometry and fat fraction measurements.

Purpose

To develop a dedicated algorithm allowing to quantify, from a single MR acquisition, fat and muscle fractions together with magnetic susceptibility and transverse relaxation time (T2*) and to assess dystrophic patients on the basis of specific quantitative indices.

Patients-Methods

Patients: MR acquisition was performed at 1.5T using a 3D multiple-echo spoiled gradient echo sequence in 9 patients with a facio-scapulo-humeral dystrophy and 8 controls. According to commonly used clinical and functional scales, two subgroups of patients were distinguished (moderate (MOD) and severe (SEV)).

Image reconstruction: Phase images were unwrapped to compute the B0 field inhomogeneities (ΔB0) map and the ΔB0-demodulated real part images. The real part was used for fat-water separation as previously described (1). The fat-water separation algorithm provided T2* and PDFF maps. From the ΔB0 map, external (Bout) and internal (Bint) fields were separated with the projection into dipole field (2). From Bint, the dipole inversion was performed with a single orientation Bayesian regularization including spatial priors derived from magnitude images to compute the susceptibility map (3). A segmentation algorithm (4) was used to calculate the index of fatty infiltration (IFI) representing the relative amount of fatty-infiltrated pixels and defines the normal appearing muscle area from which the distributions of PDFF, T2* and magnetic susceptibility were analyzed (Figure 1).

Results

The SEV group displayed a significantly larger fatty infiltration (p<0.01) of the normal-appearing muscle compartment i.e. PDFFmuscle = 22.0 ± 4.7% as compared to the control group (11.3 ± 3.7%) whereas no significant difference was found between the MOD (13.8 ± 2.1%) and the control group. In the normal-appearing muscular compartment, the averaged T2* value was significantly higher (p<0.05) in both the MOD (30.4 ± 0.8 ms) and the SEV (30.4 ± 1.7 ms) groups as compared to the controls (29.2 ± 0.5 ms). No significant difference was found between the patients groups. T2* FWHM (Full Width at Half Maximum) significantly increased (p<0.01) with respect to the groups (10.6 ± 1.0, 12.2 ± 1.4 and 17.6 ± 3.3 ms in the control, MOD and SEV group respectively). The averaged magnetic susceptibility significantly decreased with respect to the groups: -0.89 ± 0.29; -1.49 ± 0.34 and -2.06 ± 0.16 ppm in the control, MOD and SEV group respectively whereas magnetic susceptibility FWHM increased: 7.2 ± 1.4, 8.2 ± 0.4 and 9.4 ± 0.5 ppm in the control, MOD and SEV group respectively).

Discussion

The present results illustrated that QSM could be performed in skeletal muscle at 1.5T and that the corresponding algorithm can be included in the fat-water separation pipeline. The dedicated segmentation method allowed us to quantify the corresponding indices in the normal-appearing muscle compartment. The short echo-time spacing, mandatory for an accurate fat-water separation, is advantageous for the QSM reconstruction given that wraps between echoes can be consistently reduced thereby simplifying the unwrapping procedure. However, the phase-to-noise ratio was not optimal since the echo train length remains shorter than T2*. Nevertheless, this effect was limited by the high number of echoes. On that basis, it has been possible to obtain a multiparametric information from a single MR acquisition. While magnetic susceptibility-related information can be added to the relaxometry and fat fraction measurements for the assessement of disease severity and progression, further works would be mandatory in order to delineate the exact mechanisms leading to magnetic susceptibility changes in the normal appearing muscle and more particularly to understand the exact links with edema, inflammation, fibrosis and macromolecule deposition.

Acknowledgements

This work was performed within the framework of the LABEX PRIMES (ANR-11-LABX-0063) of Université de Lyon, within the program "Investissements d'Avenir" (ANR-11-IDEX-0007) operated by the French National Research Agency (ANR). This work is supported by CNRS (UMR 7339), Aix-Marseille University and Assistance Publique Hôpitaux de Marseille (APHM).

References

(1) Leporq B et al. NMR Biomed 2014;27:1211-1221.

(2) Liu T et al. NMR Biomed 2011;24:1129-1136.

(3) De Rochefort L et al. Magn Reson Med 2010;63:194-206.

(4) Lareau-Trudel E et al. PLoS One. 2015;10(7):e0132717

Figures

Figure 1: Flow chart of the reconstruction pipeline



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