Keywords: Vascular, Cardiovascular
Motivation: Whole-heart-coronary-MRA (WHC-MRA) is typically performed during free-breathing, and respiratory motion is prospectively compensated by using a 1D-right-diaphragmatic-navigator. However, this method requires long acquisition time and causes a heavy burden on the patient.
Goal(s): Our goal was to obtain high-resolution WHC-MRA with single-breath-hold while ensuring clinically acceptable signal-to-ratio.
Approach: Turbo-field-echo-planar-imaging (TFEPI), a high-speed technique, was combined with deep learning constrained Compressed SENSE (CS-AI) and image quality was evaluated by visual evaluation and contrast-to-ratio.
Results: TFEPI with CS-AI provided high spatial resolution isotoropic single-breath-hold WHC-MRA while maintaining clinically acceptable image quality and scan time compared to Compressed SENSE and SENSE.
Impact: High-resolution single-breath-hold WHC-MRA with clinically acceptable image quality by 3D TFEPI with CS-AI may improve the throughput of cardiac MRI examinations, and in addition reduce patient burden.
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