Dual-TRACER: High resolution fMRI with constrained evolution reconstruction.

Published

Journal Article

fMRI with high spatial resolution is beneficial for studies in psychology and neuroscience, but is limited by various factors such as prolonged imaging time, low signal to noise ratio and scarcity of advanced facilities. Compressed Sensing (CS) based methods for accelerating fMRI data acquisition are promising. Other advanced algorithms like k-t FOCUSS or PICCS have been developed to improve performance. This study aims to investigate a new method, Dual-TRACER, based on Temporal Resolution Acceleration with Constrained Evolution Reconstruction (TRACER), for accelerating fMRI acquisitions using golden angle variable density spiral. Both numerical simulations and in vivo experiments at 3T were conducted to evaluate and characterize this method. Results show that Dual-TRACER can provide functional images with a high spatial resolution (1×1mm2) under an acceleration factor of 20 while maintaining hemodynamic signals well. Compared with other investigated methods, dual-TRACER provides a better signal recovery, higher fMRI sensitivity and more reliable activation detection.

Full Text

Duke Authors

Cited Authors

  • Li, X; Ma, X; Li, L; Zhang, Z; Zhang, X; Tong, Y; Wang, L; Sen Song, ; Guo, H

Published Date

  • January 1, 2018

Published In

Volume / Issue

  • 164 /

Start / End Page

  • 172 - 182

PubMed ID

  • 28263924

Pubmed Central ID

  • 28263924

Electronic International Standard Serial Number (EISSN)

  • 1095-9572

Digital Object Identifier (DOI)

  • 10.1016/j.neuroimage.2017.02.087

Language

  • eng

Conference Location

  • United States