Head motion is a fundamental problem in functional MRI, and is often a limiting factor in its clinical implementation. This work presents a rigid-body motion correction strategy for echo-planar imaging (EPI) sequences that uses micro radio-frequency coil “active markers ” for real-time, slice-by-slice prospective correction. Before the acquisition of each EPI-slice, a short tracking pulse-sequence measures the positions of three active markers integrated into a headband worn by the subject; the rigid-body transformation that realigns these markers to their initial positions is then fed back to dynamically update the scan-plane, maintaining it at a fixed orientation relative to the head. Using this method, prospectively-corrected EPI time-se...
Artifacts caused by head motion are a substantial source of error in fMRI that limits its use in neu...
Head motion artifacts are a major problem in functional MRI that limit its use in neuroscience resea...
Subject motion is known to produce spurious covariance among time-series in functional connectivity ...
This work addresses the distortions in Functional Magnetic Resonance Images (FMRI) caused by subject...
This work addresses the distortions in Functional Magnetic Resonance Images (FMRI) caused by subject...
Motion correction is an important component in fMRI brain image analysis. Linear registration techni...
Due to the confounding effects of head motion artifacts on resting-state functional connectivity (RS...
We evaluated the performance of an optical camera based prospective motion correction (PMC) system i...
We evaluated the performance of an optical camera based prospective motion correction (PMC) system i...
We evaluated the performance of an optical camera based prospective motion correction (PMC) system i...
Head motion artifacts are major confounds that limit use of functional magnetic resonance imaging (f...
AbstractWe evaluated the performance of an optical camera based prospective motion correction (PMC) ...
The need for motion correction in functional MRI (fMRI) time series has been well recognised. This c...
The accuracy of measuring voxel intensity changes between stimulus and rest images in fMRI echo-plan...
Artifacts caused by head motion are a substantial source of error in fMRI that limits its use in neu...
Artifacts caused by head motion are a substantial source of error in fMRI that limits its use in neu...
Head motion artifacts are a major problem in functional MRI that limit its use in neuroscience resea...
Subject motion is known to produce spurious covariance among time-series in functional connectivity ...
This work addresses the distortions in Functional Magnetic Resonance Images (FMRI) caused by subject...
This work addresses the distortions in Functional Magnetic Resonance Images (FMRI) caused by subject...
Motion correction is an important component in fMRI brain image analysis. Linear registration techni...
Due to the confounding effects of head motion artifacts on resting-state functional connectivity (RS...
We evaluated the performance of an optical camera based prospective motion correction (PMC) system i...
We evaluated the performance of an optical camera based prospective motion correction (PMC) system i...
We evaluated the performance of an optical camera based prospective motion correction (PMC) system i...
Head motion artifacts are major confounds that limit use of functional magnetic resonance imaging (f...
AbstractWe evaluated the performance of an optical camera based prospective motion correction (PMC) ...
The need for motion correction in functional MRI (fMRI) time series has been well recognised. This c...
The accuracy of measuring voxel intensity changes between stimulus and rest images in fMRI echo-plan...
Artifacts caused by head motion are a substantial source of error in fMRI that limits its use in neu...
Artifacts caused by head motion are a substantial source of error in fMRI that limits its use in neu...
Head motion artifacts are a major problem in functional MRI that limit its use in neuroscience resea...
Subject motion is known to produce spurious covariance among time-series in functional connectivity ...