Estimation of Spatially Variable Rician Noise Map in Diffusion MRI

Keywords

accounting accuracy accurate acquisition addition affected aiming allows already analyses applied approximation assumption atlas audience background band bands become benefit bias biological brain bronze cause classified clear clearly clinical coefficients coil column composed computed constant constructed contrast correspond corrupted coup create define delves dept derived development deviation diffusion distributed distribution edges encoding especially estimation estimator evaluate evaluated existing experiment fail field fitting frequency frequent fulfilled furthermore gradient healthy highest importance importantly individual instructed intensity involuntary knowledge known lengthen likely linearly local magnitude mainly maps median medical might model modulated monotonic motion much neighborhoods noise object often operator patient positive preferably previously prior properties proposed pulsation radiology real reconstruction reflected relies repeated repeatedly repetitions residual resolution respectively rice scanner sciences sensitivity shell simulated simulation slice slight space spatial spatially spherical statistical strategy subject subsequently suffers sufficiently suggested suppressed suppressing surrounding target terms transform trials typically underlying uniform utmost variable varying volunteer whole