Skipped Phase Encoding and Edge Deghosting(SPEED)Based on Sparsifying Transforms

来源 :Computational Biomedical Imaging Workshop(2015计算生物医学成像研讨会) | 被引量 : 0次 | 上传用户:wrdyh
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  The fast imaging method of Skipped Phase Encoding and Edge Deghosting(SPEED)is effective in reducing scan time based on the bilayer signal model for sparse edge maps.Similar to compressed sensing reconstruction,original SPEED used a differential transform(DT)to generate sparse edge maps.In this work,it is hypothesized that enhanced sparsity,and thus improved image quality may be achievable for SPEED with other sparsifying transforms,including discrete wavelet transform(DWT),discrete cosine transform(DCT),DWT combined with DT,and DCT combined with DT.It was found that for images of human subjects,SPEED with DWT or DCT can yield higher image quality than DT only,especially for those images with low contrast.Reconstruction error can be further reduced if DWT or DCT are combined with DT.This study allows much more flexible data sparse representation method for SPEED,leading to significantly higher image quality for practical MRI applications.Ref: [1] Xiang Q-S,Magn Reson Med,2005;53:1112-7.[2] Jin Z,et al,Magn Reson Med,2015,published on line.
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