Accelerating dynamic MRI via spatially varying causal windows
نویسندگان
چکیده
Introduction: While dynamic imaging reveals vital functional information, such acquisitions often suffer from low SNR and low temporal resolution. The sliding window algorithm is a basic acceleration method. It is used almost exlusively in clinical practice due to its simplicity and ubiquity, despite the crude rectangular window. Previous works such as UNFOLD[1], TSENSE[2] and k-t BLAST[3] report improved results. However they are computationally much more demanding and/or they work better on a Cartesian grid, thereby not taking advantage of the more desirable flow and motion characteristics of various nonCartesian trajectories. In this work, we present a fast and causal reconstruction algorithm for dynamic MRI with arbitrary readout trajectories, together with its window interpretation.
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تاریخ انتشار 2008