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Spatiotemporal Flexible Sparse Reconstruction for Rapid Dynamic Contrast-enhanced MRI

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Document pages: 10 pages

Abstract: Dynamic Contrast-enhanced magnetic resonance imaging (DCE-MRI) is a tissueperfusion imaging technique. Some versatile free-breathing DCE-MRI techniquescombining compressed sensing (CS) and parallel imaging with golden-angle radialsampling have been developed to improve motion robustness with high spatial andtemporal resolution. These methods have demonstrated good diagnosticperformance in clinical setting, but the reconstruction quality will degrade athigh acceleration rates and overall reconstruction time remains long. In thispaper, we proposed a new parallel CS reconstruction model for DCE-MRI thatenforces flexible weighted sparse constraint along both spatial and temporaldimensions. Weights were introduced to flexibly adjust the importance of timeand space sparsity, and we derived a fast thresholding algorithm which wasproven to be simple and efficient for solving the proposed reconstructionmodel. Results on in vivo liver DCE datasets show that the proposed methodoutperforms the state-of-the-art methods in terms of visual image qualityassessment and reconstruction speed without introducing significant temporalblurring.

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