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This paper introduces a new empirical model for dynamic MRI and shows its application to reconstruction of highly under-sampled dynamic MRI. The model proposes that short 1D signals, so-called snippets, along the image's temporal dimension are sparse under non-linear transformation using a compact dictionary trained on the data itself. We employ this model to the problem of reconstructing dynamic...
Vascular pulsation and cardiac motion compromise image quality in contrast enhanced magnetic resonance angiography (CE-MRA) in the thorax, resulting in blurring and ghosting artifacts. The use of ECG gating has been proposed in the past to mitigate these artifacts but previous methods suffered from increased scanner time because only a fraction of the cardiac cycle was used for image acquisition and...
High resolution 3D coronary artery MR angiography is time-consuming and can benefit from accelerated data acquisition provided by parallel imaging techniques without sacrificing spatial resolution. Currently, popular maximum likelihood based parallel imaging reconstruction techniques such as the SENSE algorithm offer this advantage at the cost of reduced signal-to-noise ratio (SNR). Maximum a posteriori...
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