biostudies-literatureHan PNIBIB NIH HHSNHLBI NIH HHSNational Heart, Lung, and Blood InstituteNational Institutes of HealthNIAMS NIH HHSNational Institute of Biomedical Imaging and Bioengineering738-745https://www.ebi.ac.uk/biostudies/studies/S-EPMC9712251biostudies-literatureUnknown89(2)<h4>Purpose</h4>To develop a novel 3D abdominal CEST MRI technique at 3 T using MR multitasking, which enables entire-liver coverage with free-breathing acquisition.<h4>Methods</h4>k-Space data were continuously acquired with repetitive steady-state CEST (ss-CEST) modules. The stack-of-stars acquisition pattern was used for k-space sampling. MR multitasking was used to reconstruct motion-resolved 3D CEST images of 53 frequency offsets with entire-liver coverage and 2.0 × 2.0 × 6.0 mm³ spatial resolution. The total scan time was 9 min. The sensitivity of amide proton transfer (APT)-CEST (magnetization transfer asymmetry [MTR_asym ] at 3.5 ppm) and glycogen CEST (glycoCEST) (mean MTR_asym around 1.0 ppm) signals generated with the proposed method were tested with fasting experiments.<h4>Results</h4>Both APT-CEST and glycoCEST signals showed high sensitivity between post-fasting and post-meal acquisitions. APT-CEST and glycoCEST MTRasym signals from post-mean scans were significantly increased (APT-CEST: -0.019 ± 0.017 in post-fasting scans, 0.014 ± 0.021 in post-meal scans, p < 0.01; glycoCEST: 0.003 ± 0.009 in post-fasting scans, 0.027 ± 0.021 in post-meal scans, p < 0.01).<h4>Conclusion</h4>The proposed 3D abdominal steady-state CEST method using MR multitasking can generate CEST images of the entire liver during free breathing.Magnetic resonance in medicineFree-breathing 3D CEST MRI of human liver at 3.0 T.PMC9712251R01 AR066517R01 EB028146R01 HL156818Christodoulou AGHan PWang NXie YLee HLLi DCheema KCao THan HHan FfalseFree-breathing 3D CEST MRI of human liver at 3.0 T.<h4>Purpose</h4>To develop a novel 3D abdominal CEST MRI technique at 3 T using MR multitasking, which enables entire-liver coverage with free-breathing acquisition.<h4>Methods</h4>k-Space data were continuously acquired with repetitive steady-state CEST (ss-CEST) modules. The stack-of-stars acquisition pattern was used for k-space sampling. MR multitasking was used to reconstruct motion-resolved 3D CEST images of 53 frequency offsets with entire-liver coverage and 2.0 × 2.0 × 6.0 mm³ spatial resolution. The total scan time was 9 min. The sensitivity of amide proton transfer (APT)-CEST (magnetization transfer asymmetry [MTR_asym ] at 3.5 ppm) and glycogen CEST (glycoCEST) (mean MTR_asym around 1.0 ppm) signals generated with the proposed method were tested with fasting experiments.<h4>Results</h4>Both APT-CEST and glycoCEST signals showed high sensitivity between post-fasting and post-meal acquisitions. APT-CEST and glycoCEST MTRasym signals from post-mean scans were significantly increased (APT-CEST: -0.019 ± 0.017 in post-fasting scans, 0.014 ± 0.021 in post-meal scans, p < 0.01; glycoCEST: 0.003 ± 0.009 in post-fasting scans, 0.027 ± 0.021 in post-meal scans, p < 0.01).<h4>Conclusion</h4>The proposed 3D abdominal steady-state CEST method using MR multitasking can generate CEST images of the entire liver during free breathing.2023-01-01T00:00:00Z2023 Feb2024-11-08T18:04:48.043Z2024-11-08T18:04:48.043ZS-EPMC97122513616166810.1002/mrm.29470