S
Santiago Aja-Fernández
Researcher at University of Valladolid
Publications - 144
Citations - 3565
Santiago Aja-Fernández is an academic researcher from University of Valladolid. The author has contributed to research in topics: Noise & Diffusion MRI. The author has an hindex of 26, co-authored 137 publications receiving 3127 citations. Previous affiliations of Santiago Aja-Fernández include Harvard University & Brigham and Women's Hospital.
Papers
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Journal ArticleDOI
Noise and Signal Estimation in Magnitude MRI and Rician Distributed Images: A LMMSE Approach
TL;DR: A new method for noise filtering in images that follow a Rician model-with particular attention to magnetic resonance imaging-is proposed, and a (novel) closed-form solution of the linear minimum mean square error (LMMSE) estimator for this distribution is derived.
Journal ArticleDOI
On the estimation of the coefficient of variation for anisotropic diffusion speckle filtering
TL;DR: An anisotropic diffusion filter is derived that does not depend on a linear approximation of the speckle model assumed, which is the case of a previously reported filter, namely, SRAD, and performs fairly closely, a fact that emphasizes the importance of the correct estimation of the coefficients of variation.
Journal ArticleDOI
Noise-Driven Anisotropic Diffusion Filtering of MRI
TL;DR: A new filtering method to remove Rician noise from magnetic resonance images is presented that relies on a robust estimation of the standard deviation of the noise and combines local linear minimum mean square error filters and partial differential equations for MRI, as the speckle reducing anisotropic diffusion did for ultrasound images.
Proceedings ArticleDOI
Image quality assessment based on local variance.
TL;DR: This new quality index is better suited to assess the non-stationarity of images, therefore it explicitly focuses on the image structure and outperforms other methods for the assessment of image quality in medical images.
Journal ArticleDOI
Restoration of DWI Data Using a Rician LMMSE Estimator
TL;DR: This paper introduces and analyzes a linear minimum mean square error estimator using a Rician noise model and its recursive version (RLMMSE) for the restoration of diffusion weighted images.