High-performance imaging remains to be one of the hot topics in scientific and clinical development over the recent decades. High-performance gradients are also commonly believed to promise several good image quality and rapid acquisition times.
In this project we question the hypothesis that strong gradient systems are advantageous for standard clinical imaging and diagnostics. More specifically we aim to analyse the impact of distinct reduced gradient performance parameters on imaging quality of stroke, cardiac and liver protocols compared to the state-of-the-art high-performance gradient systems at 1.5T, while keeping parameters and measurement time as close as possible.
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