Abstract
Introduction Strain encoding(SENC) is a newly-developed MRI technique for measuring myocardial strain in the throughplane direction [1]. With conventional k-space acquisition, SENC requires two separate acquisitions to obtain two sets of images (low-tune(LT) and high-tune(HT)), which are combined to obtain the strain image. Non-Cartesian k-space trajectories are becoming more popular because they allow for data undersampling with acceptable image quality [2]. In this work, SENC was combined with undersampled radial k-space acquisition and interleaved SENC tunings to reduce scan time to one breathhold. The results were compared to conventional SENC images.
Highlights
Strain encoding(SENC) is a newly-developed MRI technique for measuring myocardial strain in the throughplane direction [1]
Non-Cartesian k-space trajectories are becoming more popular because they allow for data undersampling with acceptable image quality [2]
SENC was combined with undersampled radial k-space acquisition and interleaved SENC tunings to reduce scan time to one breathhold
Summary
Strain encoding(SENC) is a newly-developed MRI technique for measuring myocardial strain in the throughplane direction [1]. With conventional k-space acquisition, SENC requires two separate acquisitions to obtain two sets of images (low-tune(LT) and high-tune(HT)), which are combined to obtain the strain image. Non-Cartesian k-space trajectories are becoming more popular because they allow for data undersampling with acceptable image quality [2]. SENC was combined with undersampled radial k-space acquisition and interleaved SENC tunings to reduce scan time to one breathhold. The results were compared to conventional SENC images. Ramped flip-angle was used to maintain constant signal intensity. Pixel size ~1.5 mm and scan-time ~20 s
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