T 2 relaxometry with indirect echo compensation from highly undersampled data

Iterative T2 Estimation from Highly Undersampled Radial Fast Spin-Echo Data

C. Graff, Z. Li, A. Bilgin, M. Altbach, A. F. Gmitro, E. W. Clarkson Program in Applied Mathematics, University of Arizona, Tucson, AZ, United States, Electrical and Computer Engineering, University of Arizona, Tucson, AZ, United States, Radiology, University of Arizona, Tucson, AZ, United States, Optical Sciences Center, University of Arizona, Tucson, AZ, United States Introduction: Recently r...

Nonlinear Inverse Reconstruction for T2 Mapping from Highly Undersampled Cartesian Spin-Echo MRI

Introduction: Quantitative evaluations of the T2 relaxation time are of high importance for diagnostic MRI. Standard T2 mapping procedures rely on the time-demanding acquisition of several fully-sampled k-space datasets at multiple echo times. Recently, a new method has been proposed which employs a nonlinear inversion of the underlying signal equation to allow for reconstructions of spin-densi...

Fast Magnetic Resonance Electrical Impedance Tomography with Highly Undersampled Data

T2 mapping of the heart with a double-inversion radial fast spin-echo method with indirect echo compensation

BACKGROUND The abnormal signal intensity in cardiac T2-weighted images is associated with various pathologies including myocardial edema. However, the assessment of pathologies based on signal intensity is affected by the acquisition parameters and the sensitivities of the receiver coils. T2 mapping has been proposed to overcome limitations of T2-weighted imaging, but most methods are limited i...

Reconstruction of Self-Sparse 2D NMR Spectra from Undersampled Data in the Indirect Dimension†

Reducing the acquisition time for two-dimensional nuclear magnetic resonance (2D NMR) spectra is important. One way to achieve this goal is reducing the acquired data. In this paper, within the framework of compressed sensing, we proposed to undersample the data in the indirect dimension for a type of self-sparse 2D NMR spectra, that is, only a few meaningful spectral peaks occupy partial locat...