Abstract

Cardiovascular MRI with high spatial and temporal resolutions is essential to diagnosis; however, the collection of large data within a limited time is challenging, even with the latest high-end hardware (1). Many approaches have been tried to increase the rate of data acquisition with improved hardware, e.g., a high intensity and high slew-rate gradient system (2), and parallel acquisition systems with array coils (3, 4). Fast switching of large gradient fields, however, increases eddy currents and acoustic noise, and induces peripheral nerve stimulation (5, 6). Parallel imaging using the parallel acquisition system has been used for various clinical applications including cardiac MRI to increase the acquisition rate (7). Alternatively, cardiovascular MRI with less data without much loss of image quality has been investigated, for example view sharing (8), to skip high spatial frequency data This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/ by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. Received: March 4, 2015 Revised: March 20, 2015 Accepted: March 20, 2015

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