In this work we investigated the feasibility of using a joint method of water-fat separation and Quantitative Susceptibility Mapping to characterize carotid artery plaques. The combination of both methodologies was able to detect strong changes in susceptibility, to detect plaque calcification, and also detect changes in the local fat fraction of the plaques in order to identify a lipid core.
One patient with carotid artery disease was scanned at 1.5T (MR450w, GE Healthcare, Waukesha, WI). The study protocol consisted of 3D Time-of-Flight (TOF) MRA, black-blood (DANTE-prepared), fat suppressed T1-weighted CUBE, and a 3D multi-echo gradient echo acquisition (SWAN) (Figure 1). The T2*-weighted GRE sequence was used for QSM processing, which consisted of IDEAL water-fat separation to estimate ΔB and the water and fat fraction2,4,5, background field removal, and dipole field inversion using MEDI6–13.The multi-contrast protocol was used to validate the presence of calcification.
After the MRI scan, the patient underwent carotid endarterectomy surgery and the excised plaque was analysed histologically. For histological analysis the carotid endarterectomy specimen was decalcified and sliced at 3mm intervals. The tissue was embedded in paraffin wax; thin sections were cut at 3µm thickness and then stained with an Elastic Van Gieson histochemical stain.
Areas of calcification were outlined on the susceptibility map and the lipid core on a map of the relative fat fraction. The results were compared to the multi-contrast protocol and the histological validation.
P Ruetten is funded by a Medical Research Council/Sackler Stipend. The project was supported by the Addenbrooke’s Charitable Trust and the NIHR comprehensive Biomedical Research Centre. A Usman is funded by Mountbatten Cambridge International Scholarship in collaboration with Cambridge Trust, Christ’s College and Sir Ernest Cassel Educational Trust.
We would like to thank Jianmin Yuan for his support during the sequence design.
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14 the codes referenced in [6-13] are available at "http://weill.cornell.edu/mri/pages/qsm.html"