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Apparent diffusion coefficient (ADC) measures the magnitude of diffusion (of water molecules) within cerebral tissue. A low value for ADC indicates that the cortical white matter tracts are organized (good), while a high value for ADC indicates that these tracts are disorganized (bad). When evaluating an acute ischemic stroke, ADC image sequences play a crucial role. Ischemic brain parenchyma tends to have a low ADC value. This is in turn correlated with a high diffusion weighted imaging (DWI) value to confirm that the ischemia is not secondary to an MRI artifact known as T2 shine through. The latter would demonstrate a high signal on DWI imaging, but would continue to demonstrate high intensity on ADC sequences.
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What is the relation between apparent diffusion coefficient and mean diffusivity on DTI?
Apparent diffusion coefficient (ADC) is a measure of water diffusion in all directions, while mean diffusivity is a measure of the average diffusion within a voxel. ADC includes the effects of both isotropic and anisotropic diffusion, whereas mean diffusivity reflects the overall diffusion within the voxel. In DTI, ADC is calculated as the average of the three eigenvalues, which correspond to the three principal diffusion directions and contribute to mean diffusivity.
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