Local estimation of the noise level in MRI using structural adaptation
- Tabelow, Karsten
- Voss, Henning U.
- Polzehl, Jörg
2010 Mathematics Subject Classification
- 62G05 62P10
- Magnetic Resonance Imaging, Noise estimation, Maximum Likelihood estimation
We present a method for local estimation of the signal-dependent noise level in magnetic resonance images. The procedure uses a multi-scale approach to adaptively infer on local neighborhoods with similar data distribution. It exploits a maximum-likelihood estimator for the local noise level. The validity of the method was evaluated on repeated diffusion data of a phantom and simulated data using T1-data corrupted with artificial noise. Simulation results are compared with a recently proposed estimate. The method was applied to a high-resolution diffusion dataset to obtain improved diffusion model estimation results and to demonstrate its usefulness in methods for enhancing diffusion data.
- Med. Image Anal., 20 (2015) pp. 76--86.