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Quantitative comparisons between relaxation enhanced compressed sensing 3d merge and conventional 3d merge for vessel wall imaging in equal scan time: preliminary studies

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Science China(Life Sciences) 2019年第12期62卷 1683-1691页

作者： Bo Li Hao Li Li dong Center Laboratory The Third Affiliated Hospital ofNanchang UniversityNanchang 330008China Jiangxi Key Laboratory of Cancer Metastasis and Precision Treatment The Third Affiliated Hospital of Nanchang UniversityNanchang 330008China department of Radiology University of CambridgeCambridge CB2 OQQUK department of Radiology Beijing Anzhen HospitalCapital Medical UniversityBeijing 100029China

In this study, we quantitatively compared relaxation enhanced compressed sensing(recs-3d merge) with conventional 3d merge techniques on blood suppression efficiency, wall-lumen contrast and plaque burden measurement for carotid atherosclerotic imaging in equal scan time. Twelve patients were recruited in the study. recs-3d merge and conventional 3d merge were implemented. 2d dIR-FSE was carried out as a reference standard. The lumen signal-to-tissue ratio(STR) was used as the quantitative measure of blood suppression efficiency. The contrast-to-tissue ratio(CTR) was used as the quantitative measure of wall-lumen contrast. Vessel lumen area(LA) and wall area(WA) were measured for morphological comparisons. The lumen STR of recs-3d merge was significantly lower than that of 3d merge while the wall-lumen CTR of recs-3d merge was significantly higher. There were no significant differences in plaque burden measurements between recs-3d merge and 2d dIR-FSE. For comparison between conventional 3d merge and 2d dIR-FSE, there were no significant differences in LA measurement. However, the WA of 3d merge was significantly larger. The recs-3d merge sequence achieved more sufficient blood suppression and higher image contrast without prolonging the scan time. These improvements lead to more accurate morphological measurements of carotid atherosclerotic imaging.

关键词： recs-3d merge black-blood IVIR imaging compressed sensing pseudo-centric phase encoding order

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