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. Author manuscript; available in PMC: 2016 Nov 15.
Published in final edited form as: Neuroimage. 2015 Aug 1;122:373–384. doi: 10.1016/j.neuroimage.2015.07.074

Figure 2.

Figure 2

Workflow for Extracting Real-Valued Diffusion Data. A Flow chart for creating real-valued dMRI data. The standard reconstruction steps are displayed in white. The additional steps for extracting real-valued data are indicated in blue. B Depiction of the phase correction process. The complex-valued dMRI signal is used for the estimation of the smooth background phase, φBG, without noise contamination. The background phase is subtracted, creating a complex image without background phase contamination. The real part, including diffusion-contrast and Gaussian noise are extracted. The imaginary part contains only imaginary part of the complex Gaussian noise and can therefore be discarded.