3 papers
stat.AP2023
Nonparametric Modeling of Diffusion MRI Signal in Q-space
Arkaprava Roy, Zhou Lan, Zhengwu Zhang
This paper describes a novel nonparametric model for modeling diffusion MRI signals in q-space. In q-space, diffusion MRI signal is measured for a sequence of magnetic strengths (b…
stat.ME2021
Statistical Inference of Auto-correlated Eigenvalues with Applications to Diffusion Tensor Imaging
Zhou Lan
Diffusion tensor imaging (DTI) is a prevalent neuroimaging tool in analyzing the anatomical structure. The distinguishing feature of DTI is that the voxel-wise variable is a 3x3 po…
stat.ME2019
A Spatial Bayesian Semiparametric Mixture Model for Positive Definite Matrices with Applications to Diffusion Tensor Imaging
Zhou Lan, Brian J. Reich, Dipankar Bandyopadhyay
Diffusion tensor imaging (DTI) is a popular magnetic resonance imaging technique used to characterize microstructural changes in the brain. DTI studies quantify the diffusion of wa…