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- W2058103722 abstract "The intensity value of each voxel in a Brain MR image is considered to be a linear combination of signal intensities emitted from protons in aqueous and lipid environments inside that voxel. A novel model describing the Proton Density (PD) and fraction of protons in aqueous environment (Water Fraction - WF) as independent sources of an MR image is suggested. We consider an input set of registered T 1 and T 2 weighted images to be the mixtures. The sources are separated from these mixtures by applying a geometrical Blind-Source-Separation technique on Sparse projection of the mixtures. A novel model is proposed to relate between the observed scatter-plot and the actual orientations of the mixing matrix and its estimation. The resulting PD source-image is compared to available PD weighted image of the same patient. WF image is used for anatomic classification of the image into brain tissues - White Matter (WM), Grey Matter (GM), and Cerebrospinal Fluid (CSF)." @default.
- W2058103722 created "2016-06-24" @default.
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- W2058103722 date "2009-07-01" @default.
- W2058103722 modified "2023-09-24" @default.
- W2058103722 title "Analysis and segmentation of Brain MR images with Blind-Source-Separation techniques" @default.
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- W2058103722 doi "https://doi.org/10.1109/icdsp.2009.5201178" @default.
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