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Unmixing dynamic PET images with variable specific binding kinetics

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Academic year: 2021

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Figure

Fig.  1. Configuration of the classic three-compartment kinetic model used in many  imaging studies
Fig.  2. Left: variability basis element v  1  identified by PCA. Right: generated SBFs (blue) and the nominal SBF signature (red)
Fig.  3. Factor proportion maps of the 15th time-frame obtained for SNR = 15dB corresponding to the specific gray matter, white matter, gray matter and blood, from left to  right
Fig.  4. TACs obtained for SNR = 15 dB. For the proposed SLMM algorithm, the repre-  sented SBF TAC corresponds to the empirical mean of the estimated spatially vary-  ing SBFs m 1 , 1  ,
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