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weamp;#39;ve seen how diffusion signals deconvolve with a response function to produce the fiber orientation density we know that the response function is an ideal model of signal response from a voxel comprised of only a single coherent fiber bundle however diffusion signals in real tissue originate not only from water moving along axons but also extracellular water furthermore each voxel of brain tissue also has other structures such as neurons and glial cell bodies which contain water with limited diffusion that also contributes to the signal by only using a single response function we ignore these other spins and force all the NMR signal to be represented as if it originated from fiber bundles which may lead to poor fiber orientation density estimates in this segment weamp;#39;ll show how compartmentalization models and multi shell imaging can address this and even provide additional information about the anatomical structure of a voxel as weamp;#39;ve seen before the angular po