Literature DB >> 18383662

Spin saturation artifact correction using slice-to-volume registration motion estimates for fMRI time series.

Roshni Bhagalia1, Boklye Kim.   

Abstract

Evaluation of functional magnetic resonance imaging (fMRI) as a reliable clinical imaging tool requires accurate assessment and correction of head motion artifacts. As the correction of bulk head motion is vital, the loss of signal strength from the confounding effect of head motion on spin magnetization may be an additional factor in activation analysis error. This study focuses on the evaluation and correction of the spin saturation artifact that occurs when parts of adjacent slices are selected due to changing head positions in single-shot multislice acquisitions. As a consequence of head movement, the acquired slices constituting a fMRI volume are no longer parallel to each other and the spin magnetization in fMRI voxels becomes dependent on head motion history. Motion corrections applying the same rigid motion estimates to all the slices in a volume may not be a reasonable approximation in cases where the magnitude of head motion exceeds a subvoxel range. For realistic ranges of motion in fMRI, an accurate estimate of rigid motion parameters for each echo planar imaging (EPI) slice is essential to correctly register voxel intensities. Previously we have implemented the map-slice-to-volume (MSV) motion correction method that maps each slice in a time series onto a reference anatomical volume, which proved to be effective in improving activation detection. To correctly evaluate the motion dependence of spin magnetization, each voxel is tracked with movement history that is available from MSV motion estimates. Relatively low in resolution, EPI voxels are composed of varying mixtures of white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF) and variations in the tissue composition give rise to voxel intensities that are functions of tissue T1 properties. We have developed a weighted-average spin saturation (WASS) correction method that can handle full rigid motion and account for the melange of different brain tissue isochromats at each EPI voxel location. We evaluated the effect of spin saturation artifacts and the performance of the WASS correction using simulated fMRI time series synthesized with known true activation, motion, and the associated spin saturation artifact. Two different ranges of head rotations, [-5,5] and [-2,2] deg, were introduced and the effect of the spin saturation artifact was quantified to show 18% and 13% reduction in activation detection rate, respectively. Following the MSV motion and WASS correction, results indicate that WASS correction can improve activation detection by 17% relative to MSV only correction.

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Year:  2008        PMID: 18383662     DOI: 10.1118/1.2826555

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  5 in total

Review 1.  Prospective motion correction in functional MRI.

Authors:  Maxim Zaitsev; Burak Akin; Pierre LeVan; Benjamin R Knowles
Journal:  Neuroimage       Date:  2016-11-11       Impact factor: 6.556

2.  High-throughput optogenetic functional magnetic resonance imaging with parallel computations.

Authors:  Zhongnan Fang; Jin Hyung Lee
Journal:  J Neurosci Methods       Date:  2013-06-04       Impact factor: 2.390

3.  A comprehensive assessment of regional variation in the impact of head micromovements on functional connectomics.

Authors:  Chao-Gan Yan; Brian Cheung; Clare Kelly; Stan Colcombe; R Cameron Craddock; Adriana Di Martino; Qingyang Li; Xi-Nian Zuo; F Xavier Castellanos; Michael P Milham
Journal:  Neuroimage       Date:  2013-03-15       Impact factor: 6.556

Review 4.  Methods for cleaning the BOLD fMRI signal.

Authors:  César Caballero-Gaudes; Richard C Reynolds
Journal:  Neuroimage       Date:  2016-12-09       Impact factor: 6.556

5.  Detecting default mode networks in utero by integrated 4D fMRI reconstruction and analysis.

Authors:  Sharmishtaa Seshamani; Anna I Blazejewska; Susan Mckown; Jason Caucutt; Manjiri Dighe; Christopher Gatenby; Colin Studholme
Journal:  Hum Brain Mapp       Date:  2016-11       Impact factor: 5.038

  5 in total

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