Nonparametric model for a tensor field based on high angular resolution diffusion imaging (HARDI)

DOI10.1007/S11203-020-09236-YzbMath1471.62304OpenAlexW3120824778MaRDI QIDQ2046301

Lyudmila Sakhanenko, Michael DeLaura, David C. Zhu

Publication date: 17 August 2021

Published in: Statistical Inference for Stochastic Processes (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11203-020-09236-y

zbMATH Keywords

nonparametric estimationintegral curvetractography

Mathematics Subject Classification ID

Gaussian processes (60G15) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Image analysis in multivariate analysis (62H35)

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Uses Software

• FSL
• book2.r

Cites Work

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• Integral curves from noisy diffusion MRI data with closed-form uncertainty estimates
• Nonparametric estimation of the spectral density of amplitude-modulated time series with missing observations
• Numerical issues in estimation of integral curves from noisy diffusion tensor data
• Rates of strong uniform consistency for multivariate kernel density estimators. (Vitesse de convergence uniforme presque sûre pour des estimateurs à noyaux de densités multivariées)
• Estimation of integral curves from high angular resolution diffusion imaging (HARDI) data
• Integral curves of noisy vector fields and statistical problems in diffusion tensor imaging: nonparametric kernel estimation and hypotheses testing

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