Spherical Deconvolution of Multichannel Diffusion MRI Data with Non-Gaussian Noise Models and Spatial Regularization.

Spherical Deconvolution of Multichannel Diffusion MRI Data with Non-Gaussian Noise Models and Spatial Regularization.

Spherical deconvolution (SD) methods are widely used to estimate the intra-voxel white-matter fiber orientations from diffusion MRI data. However, while some of these methods assume a zero-mean Gaussian distribution for the underlying noise, its real distribution is known to be non-Gaussian and to d...

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Бібліографічні деталі
Автори: Erick J Canales-Rodríguez, Alessandro Daducci, Stamatios N Sotiropoulos, Emmanuel Caruyer, Santiago Aja-Fernández, Joaquim Radua, Jesús M Yurramendi Mendizabal, Yasser Iturria-Medina, Lester Melie-García, Yasser Alemán-Gómez, Jean-Philippe Thiran, Salvador Sarró, Edith Pomarol-Clotet, Raymond Salvador
Формат: Стаття
Мова:English
Опубліковано: Public Library of Science (PLoS) 2015-01-01
Серія:PLoS ONE
Онлайн доступ:http://europepmc.org/articles/PMC4607500?pdf=render

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http://europepmc.org/articles/PMC4607500?pdf=render

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