Literature DB >> 19162602

Average field map image template for Echo-Planar image analysis.

Ali Gholipour1, Nasser Kehtarnavaz, Kaundinya Gopinath, Richard Briggs, Issa Panahi.   

Abstract

Magnetic resonance field map images are normally used in characterizing the magnetic field inhomogeneity for distortion correction in Echo-Planar Imaging (EPI) and accurate localization in functional MRI (fMRI). In this paper, the computation and applications of an average field map image template is investigated based on real field maps. The introduced methodology and the obtained field map image templates may be used in EPI and fMRI image analysis, distortion correction, registration, and functional localization when high-resolution field map images are not available for individual datasets. The introduced methodology involves three stages of pre-processing, registration, and spatial normalization. The analysis and results presented in this paper show the impact and usefulness of the investigated methodology in several applications.

Mesh:

Year:  2008        PMID: 19162602     DOI: 10.1109/IEMBS.2008.4649099

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  19 in total

1.  Cortical Functional Connectivity Evident After Birth and Behavioral Inhibition at Age 2.

Authors:  Chad M Sylvester; Christopher D Smyser; Tara Smyser; Jeanette Kenley; Joseph J Ackerman; Joshua S Shimony; Steve E Petersen; Cynthia E Rogers
Journal:  Am J Psychiatry       Date:  2017-08-04       Impact factor: 18.112

2.  On the accuracy of unwarping techniques for the correction of susceptibility-induced geometric distortion in magnetic resonance Echo-planar images.

Authors:  Ali Gholipour; Nasser Kehtarnavaz; Benoit Scherrer; Simon K Warfield
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2011

3.  Multi-parametric neuroimaging reproducibility: a 3-T resource study.

Authors:  Bennett A Landman; Alan J Huang; Aliya Gifford; Deepti S Vikram; Issel Anne L Lim; Jonathan A D Farrell; John A Bogovic; Jun Hua; Min Chen; Samson Jarso; Seth A Smith; Suresh Joel; Susumu Mori; James J Pekar; Peter B Barker; Jerry L Prince; Peter C M van Zijl
Journal:  Neuroimage       Date:  2010-11-20       Impact factor: 6.556

Review 4.  Neonatal brain injury and aberrant connectivity.

Authors:  Christopher D Smyser; Muriah D Wheelock; David D Limbrick; Jeffrey J Neil
Journal:  Neuroimage       Date:  2018-07-27       Impact factor: 6.556

Review 5.  Use of resting-state functional MRI to study brain development and injury in neonates.

Authors:  Christopher D Smyser; Jeffrey J Neil
Journal:  Semin Perinatol       Date:  2015-03       Impact factor: 3.300

6.  Cerebellar Functional Connectivity in Term- and Very Preterm-Born Infants.

Authors:  Charlotte S Herzmann; Abraham Z Snyder; Jeanette K Kenley; Cynthia E Rogers; Joshua S Shimony; Christopher D Smyser
Journal:  Cereb Cortex       Date:  2019-03-01       Impact factor: 5.357

7.  Resting-State Network Complexity and Magnitude Are Reduced in Prematurely Born Infants.

Authors:  Christopher D Smyser; Abraham Z Snyder; Joshua S Shimony; Anish Mitra; Terrie E Inder; Jeffrey J Neil
Journal:  Cereb Cortex       Date:  2014-10-20       Impact factor: 5.357

8.  Prediction of brain maturity in infants using machine-learning algorithms.

Authors:  Christopher D Smyser; Nico U F Dosenbach; Tara A Smyser; Abraham Z Snyder; Cynthia E Rogers; Terrie E Inder; Bradley L Schlaggar; Jeffrey J Neil
Journal:  Neuroimage       Date:  2016-05-11       Impact factor: 6.556

9.  Resting-state Functional Magnetic Resonance Imaging Correlates of Sevoflurane-induced Unconsciousness.

Authors:  Ben Julian A Palanca; Anish Mitra; Linda Larson-Prior; Abraham Z Snyder; Michael S Avidan; Marcus E Raichle
Journal:  Anesthesiology       Date:  2015-08       Impact factor: 7.892

10.  The Lag Structure of Intrinsic Activity is Focally Altered in High Functioning Adults with Autism.

Authors:  Anish Mitra; Abraham Z Snyder; John N Constantino; Marcus E Raichle
Journal:  Cereb Cortex       Date:  2017-02-01       Impact factor: 5.357

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