Magnetic Resonance Imaging

Magnetic resonance imaging and derived modalities.

Iterative reweighted linear least squares for the robust estimation of diffusion magnetic resonance parameters

Diffusion weighted magnetic resonance (DW-MR) imaging suffers from physiological noise such as artifacts caused by motion or system instabilities. This obviates the need for robust diffusion parameter estimation techniques. In the past, several techniques have been presented including RESTORE and iRESTORE. However, these techniques are based on nonlinear estimators, and are consequently computationally intensive. We present a new robust, iteratively reweighted linear least squares (IRLLS) estimator.

A New Nonlocal Maximum Likelihood Estimation Method for Denoising Magnetic Resonance Images

J. Rajan, A J. den Dekker, J. Juntu, and J. Sijbers, "A New Nonlocal Maximum Likelihood Estimation Method for Denoising Magnetic Resonance Images", 5th International Conference, PReMI 2013, Kolkata, India, December 10-14, 2013. Proceedings, Lecture Notes in Computer Science, vol. 8251, 2013.

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