
doi: 10.1002/mrm.27474
pmid: 30183094
PurposeTo provide high‐resolution cardiac T1 mapping of various cardiac phases and cine imaging within a single breath‐hold using continuous golden ratio‐based radial acquisition and model‐based iterative image reconstruction.MethodsData acquisition was performed continuously using golden ratio‐based radial sampling and multiple inversion pulses were applied independent of the heart rate. Native T1 maps of diastole and systole were reconstructed with in‐plane resolution of 1.3 × 1.3 mm2 using model‐based iterative image reconstruction. Cine images with 30 cardiac phases were reconstructed from the same data using kt‐SENSE. The method was evaluated in a commercially available T1 phantom and 10 healthy subjects. In vivo T1 assessment was carried out segment‐wise.ResultsEvaluation in the phantom demonstrated accurate T1 times (R2 > 0.99) and insensitivity to the heart rate. In vivo T1 values did not differ between systole and diastole, and T1 times assessed by the proposed approach were longer than measured with a modified Look‐Locker inversion recovery (MOLLI) sequence, except for lateral segments. Cine images had a consistent dark‐blood contrast and functional assessment was in agreement with assessment based on Cartesian cine scans (difference in ejection fraction: 0.26 ± 2.65%, P = 0.65).ConclusionThe proposed approach provides native T1 maps of diastole and systole with high spatial resolution and cine images simultaneously within 16 s, which could strongly improve the scan efficiency.
Adult, Male, Systole, 610, Magnetic Resonance Imaging, Cine, Breath Holding, Electrocardiography, Motion, Young Adult, model-based reconstruction, Diastole, Heart Rate, Image Interpretation, Computer-Assisted, multiparametric acquisition, Image Processing, Computer-Assisted, Humans, T mapping, cine imaging, myocardial tissue characterization, Phantoms, Imaging, Reproducibility of Results, Heart, Healthy Volunteers, Female, Algorithms
Adult, Male, Systole, 610, Magnetic Resonance Imaging, Cine, Breath Holding, Electrocardiography, Motion, Young Adult, model-based reconstruction, Diastole, Heart Rate, Image Interpretation, Computer-Assisted, multiparametric acquisition, Image Processing, Computer-Assisted, Humans, T mapping, cine imaging, myocardial tissue characterization, Phantoms, Imaging, Reproducibility of Results, Heart, Healthy Volunteers, Female, Algorithms
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