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The critical challenge in dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is the trade-off between spatial and temporal resolution due to the limited availability of acquisition time. To address this, it is imperative to under-sample k-space and to develop specific reconstruction techniques. Our proposed method reconstructs high-quality images from under-sampled dynamic k-space data...
The critical challenge in Dynamic MR imaging is the trade-off between spatial and temporal resolution due to the limited availability of acquisition time. To address this it is imperative to under-sample k-space and develop specific reconstruction techniques. We propose an improvement to the well-known compressed sensing-based Total Variation (TV) minimization constrained reconstruction scheme by...
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