【摘 要】
：
Redundancy in MRI data has been extensively exploited to reconstruct images from undersampled k-space data for shortening data acquisition duration.Adaptive
【出 处】
：
Computational Biomedical Imaging Workshop(2015计算生物医学成像研讨会)
论文部分内容阅读
Redundancy in MRI data has been extensively exploited to reconstruct images from undersampled k-space data for shortening data acquisition duration.Adaptive dictionary learned from images themselves can better sparsify images than using fixed transforms(e.g.wavelets and total variations).This talk will present the effect of imposing orthogonality during dictionary updating on the reconstruction from undersampled MRI data.
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