A
Antonio Tristán-Vega
Researcher at University of Valladolid
Publications - 62
Citations - 1520
Antonio Tristán-Vega is an academic researcher from University of Valladolid. The author has contributed to research in topics: Diffusion MRI & Noise. The author has an hindex of 19, co-authored 56 publications receiving 1352 citations. Previous affiliations of Antonio Tristán-Vega include Harvard University & Brigham and Women's Hospital.
Papers
More filters
Journal ArticleDOI
The DTI Challenge: Toward Standardized Evaluation of Diffusion Tensor Imaging Tractography for Neurosurgery
Sonia Pujol,William M. Wells,Carlo Pierpaoli,C. Brun,James C. Gee,Guang Cheng,Baba C. Vemuri,Olivier Commowick,Sylvain Prima,Aymeric Stamm,Maged Goubran,Ali R. Khan,Terry M. Peters,Peter F. Neher,Klaus H. Maier-Hein,Yundi Shi,Antonio Tristán-Vega,Gopalkrishna Veni,Ross T. Whitaker,Martin Styner,Carl-Fredrik Westin,Sylvain Gouttard,Isaiah Norton,Laurent Chauvin,Hatsuho Mamata,Guido Gerig,Arya Nabavi,Alexandra J. Golby,Ron Kikinis +28 more
TL;DR: This empirical study was to evaluate different tractography techniques in the first DTI Challenge workshop, an international working group of clinicians and scientists whose goal was to provide standardized evaluation of tractography methods for neurosurgery.
Journal ArticleDOI
Noise estimation in single- and multiple-coil magnetic resonance data based on statistical models
TL;DR: The proposed new noise estimation procedures, based on the distribution of local moments, show better performance in terms of smaller variance and unbiased estimation over a wide range of experiments, with the additional advantage of not needing to explicitly segment the background of the image.
Journal ArticleDOI
Estimation of fiber orientation probability density functions in high angular resolution diffusion imaging.
TL;DR: An estimator of the Orientation Probability Density Function (OPDF) of fiber tracts in the white matter of the brain from High Angular Resolution Diffusion data is presented, where the Jacobian of the spherical coordinates is included in the Funk-Radon approximation to the radial integral.
Journal ArticleDOI
DWI filtering using joint information for DTI and HARDI
TL;DR: This paper proposes a methodology to take advantage of the joint information in the DWI volumes, i.e., the sum of the information given by all DWI channels plus the correlations between them, and adapt this methodology to two filters, namely the Linear Minimum Mean Squared Error (LMMSE) and the Unbiased Non-Local Means (UNLM).
Journal ArticleDOI
Statistical noise analysis in GRAPPA using a parametrized noncentral Chi approximation model.
TL;DR: A noncentral Chi distribution can be assumed for all pixels in the image, whose effective number of coils and effective variance of noise can be explicitly computed in a closed form from the Generalized Autocalibrated Partially Parallel Acquisitions interpolation coefficients.