A retrospective physiological noise correction method for oscillating steady-state imaging.

ABSTRACT:

Purpose

Oscillating steady-state imaging (OSSI) is an SNR-efficient steady-state sequence with T2∗ sensitivity suitable for FMRI. Due to the frequency sensitivity of the signal, respiration- and drift-induced field changes can create unwanted signal fluctuations. This study aims to address this issue by developing retrospective signal correction methods that utilize OSSI signal properties to denoise task-based OSSI FMRI experiments.

Methods

A retrospective denoising approach was developed that leverages the unique signal properties of OSSI to perform denoising without a manually specified noise region of interest and works with both voxel timecourses (oscillating steady-state correction [OSSCOR]) or FID timecourses (F-OSSCOR). Simulations were performed to estimate the numbe

SUBMITTER: Cao AA 

PROVIDER: S-EPMC7722173 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature