DeepAI
Log In Sign Up

Robust Multi-echo GRE Phase processing using a unity rank enforced complex exponential model

06/26/2021
by   Joseph Suresh Paul, et al.
0

Purpose: Develop a processing scheme for Gradient Echo (GRE) phase to enable restoration of susceptibility-related (SuR) features in regions affected by imperfect phase unwrapping, background suppression and low signal-to-noise ratio (SNR) due to phase dispersion. Theory and Methods: The predictable components sampled across the echo dimension in a multi-echo GRE sequence are recovered by rank minimizing a Hankel matrix formed using the complex exponential of the background suppressed phase. To estimate the single frequency component that relates to the susceptibility induced field, it is required to maintain consistency with the measured phase after background suppression, penalized by a unity rank approximation (URA) prior. This is formulated as an optimization problem, implemented using the alternating direction method of multiplier (ADMM). Results: With in vivo multi-echo GRE data, the magnitude susceptibility weighted image (SWI) reconstructed using URA prior shows additional venous structures that are obscured due to phase dispersion and noise in regions subject to remnant non-local field variations. The performance is compared with the susceptibility map weighted imaging (SMWI) and the standard SWI. It is also shown using numerical simulation that quantitative susceptibility map (QSM) computed from the reconstructed phase exhibits reduced artifacts and quantification error. In vivo experiments reveal iron depositions in insular, motor cortex and superior frontal gyrus that are not identified in standard QSM. Conclusion: URA processed GRE phase is less sensitive to imperfections in the phase pre-processing techniques, and thereby enable robust estimation of SWI and QSM.

READ FULL TEXT

page 18

page 19

page 20

page 21

page 22

page 23

page 25

11/03/2020

Two Heads Are Better Than One: A Two-Stage Approach for Monaural Noise Reduction in the Complex Domain

In low signal-to-noise ratio conditions, it is difficult to effectively ...
07/17/2015

Estimating Absolute-Phase Maps Using ESPIRiT and Virtual Conjugate Coils

Purpose: To develop an ESPIRiT-based method to estimate coil sensitiviti...
09/18/2018

Phase transition in random tensors with multiple spikes

Consider a spiked random tensor obtained as a mixture of two components:...
04/25/2018

Quantitative Susceptibility Map Reconstruction Using Annihilating Filter-based Low-Rank Hankel Matrix Approach

Quantitative susceptibility mapping (QSM) inevitably suffers from streak...