Work

A theoretical signal processing framework for linear diffusion MRI: Implications for parameter estimation and experiment design

Year: 2017

Type: article

Source: NeuroImage

DOI: 10.1016/j.neuroimage.2017.08.048

Authors: Divya Varadarajan, Justin P. Haldar

Institution: University of Southern California

Language: English

Topic: Advanced Neuroimaging Techniques and Applications

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

Open Access status: bronze

Funders: National Science Foundation, University of Southern California, National Institutes of Health, National Institute of Mental Health, National Institute of Neurological Disorders and Stroke, National Institute of Biomedical Imaging and Bioengineering

Awards: G1066422085, CAREER: Low-Rank Matrix Modeling for Constrained Reconstruction from Noisy and Sparsely-Sampled Data, G3048631115, Mapping the Human Connectome: Structure, Function, and Heritability, G3848525072, Faster MRI with Sparse Sampling and Low-Rank Modeling, G9000024958, G9000050521, G9000089182

OpenAlex ID: W2749534884

FWCI: 0.568

Cites: 69

Cited by: 9

Related to: 10