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In DWI, MRI is used to assess the Brownian motions of water molecules within a certain tissue of interest.
In DWI, (D) MRI displays an obvious hyperintense signal, whereas in the hepatobiliary phase (E), it shows a homogenous hypointense signal.
In DWI, tissue contrast is obtained through differences in free water motion between various tissue types and between normal and pathological tissues.
In DWI, SCI can be detected as early as 3 h after the onset, while it takes around 24 h for T2-weighted imaging to diagnose SCI [5].
In DWI water diffusion is considered an isotropic process.
In DWI, a loss of image intensity of each voxel reflects the rate of microscopic water diffusion (apparent diffusion coefficient).
In DWI, each pixel on the MR image represents the rate of water diffusion, i.e., it displays the measurement of the Brownian motion of hydrogen atoms.
Another important factor in DWI is the maximum b-value.
In this paper, we propose a novel framework to automatically segment stroke lesions in DWI.
Using a cross-sectional design, this study tested three hypotheses related to the utility of biomarkers in DWI assessment.
No signal alteration was seen in DWI images while ADC maps showed high signal indicating vasogenic edema (Fig. 1b, c).
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