For fluorescence molecular tomography(FMT),image quality could be improved by incorporating a sparsity constraint.The L1 norm regularization method has been proven better than the L2 norm,like Tikhonov regularization....For fluorescence molecular tomography(FMT),image quality could be improved by incorporating a sparsity constraint.The L1 norm regularization method has been proven better than the L2 norm,like Tikhonov regularization.However,the Tikhonov method was found capable of achieving a similar quality at a high iteration cost by adopting a zeroing strategy.By studying the reason,a Tikhonov-regularization-based projecting sparsity pursuit method was proposed that reduces the iterations significantly and achieves good image quality.It was proved in phantom experiments through time-domain FMT that the method could obtain higher accuracy and less oversparsity and is more applicable for heterogeneous-target reconstruction,compared with several regularization methods implemented in this Letter.展开更多
What are the essential elements of good poems? Through observation and analysis,it can be said that a good poem has excellentword choice and photographic pictures.A good poem can also provide another way to see the wo...What are the essential elements of good poems? Through observation and analysis,it can be said that a good poem has excellentword choice and photographic pictures.A good poem can also provide another way to see the world and contains multiple meanings.Last-ly,generally speaking,a good poem is the outflow of strong inner feelings and can touch the readers heart deeply.展开更多
基金supported by the National Natural Science Foundation of China(Nos.81561168023,61871251,and 61871022).
文摘For fluorescence molecular tomography(FMT),image quality could be improved by incorporating a sparsity constraint.The L1 norm regularization method has been proven better than the L2 norm,like Tikhonov regularization.However,the Tikhonov method was found capable of achieving a similar quality at a high iteration cost by adopting a zeroing strategy.By studying the reason,a Tikhonov-regularization-based projecting sparsity pursuit method was proposed that reduces the iterations significantly and achieves good image quality.It was proved in phantom experiments through time-domain FMT that the method could obtain higher accuracy and less oversparsity and is more applicable for heterogeneous-target reconstruction,compared with several regularization methods implemented in this Letter.
文摘What are the essential elements of good poems? Through observation and analysis,it can be said that a good poem has excellentword choice and photographic pictures.A good poem can also provide another way to see the world and contains multiple meanings.Last-ly,generally speaking,a good poem is the outflow of strong inner feelings and can touch the readers heart deeply.
