On the optimal acceleration of time-resolved 3D imaging using GRAPPA
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چکیده
Introduction: Time-resolved 3D imaging often suffers from long acquisition times while aiming for high temporal or spatial resolution. To speed up acquisition times parallel imaging techniques for volumetric [1] and time-resolved 2D data acquisition have been introduced [2-4]. However, no systematic investigation of parallel imaging using GRAPPA to reconstruct time-resolved 3D data has been presented to date. Hence, the aim of this work was to explore how to optimally undersample and reconstruct time-resolved 3D data.
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تاریخ انتشار 2009