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Systems and methods for rescaling image intensities with diffusion MRI to synthesize complex diffusive geometries
Systems and methods for rescaling image intensities with diffusion MRI to synthesize complex diffusive geometries
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机译:使用扩散MRI重新缩放图像强度以合成复杂的扩散几何结构的系统和方法
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摘要
A method for scaling MR signal intensity after noise has been removed is disclosed. Because the signal in a DTI series varies with the apparent diffusivity in the direction of an applied gradient, one can multiply image data collected under actual clinical conditions with a spatially-dependent scaling function to synthesize different spatial diffusion distributions, after removal of noise. Recombination of the data with the removed noise preserves the bias in the system.
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