Using synthetic MR images for distortion correction
暂无分享,去创建一个
Timothy O. Laumann | Abhinav K. Jha | E. Feczko | N. Dosenbach | D. Fair | E. Gordon | Dillan J. Newbold | D. Greene | M. Tisdall | A. V. D. van der Kouwe | Scott Marek | D. Montez | B. Kay | Ryland L. Miller | Ó. Miranda-Domínguez | E. Earl | Annie Zheng | Nicole A. Seider | A. Van | A. Sotiras | Kristen M. Scheidter | Anders J. Perrone | A. N. Van | Aristeidis Sotiras | Óscar Miranda-Domínguez | A. K. Jha | Damien A. Fair | Evan M. Gordon
[1] Kimberly B. Weldon,et al. Assessing methods for geometric distortion compensation in 7 T gradient echo functional MRI data , 2021, Human brain mapping.
[2] Markus H. Sneve,et al. The Bermuda Triangle of d- and f-MRI sailors - software for susceptibility distortions (SDCFlows) , 2021 .
[3] Jonathan D. Power,et al. Rapid Precision Functional Mapping of Individuals Using Multi-Echo fMRI , 2020, Cell reports.
[4] Evan M. Gordon,et al. Parallel hippocampal-parietal circuits for self- and goal-oriented processing , 2020, Proceedings of the National Academy of Sciences.
[5] Mark A. Anastasio,et al. On Hallucinations in Tomographic Image Reconstruction , 2020, IEEE Transactions on Medical Imaging.
[6] Lucy S. King,et al. Naturalistic Language Input is Associated with Resting-State Functional Connectivity in Infancy , 2020, The Journal of Neuroscience.
[7] Evan M. Gordon,et al. Cingulo-Opercular Control Network Supports Disused Motor Circuits in Standby Mode , 2020, bioRxiv.
[8] Evan M. Gordon,et al. Plasticity and Spontaneous Activity Pulses in Disused Human Brain Circuits , 2020, Neuron.
[9] Evan M. Gordon,et al. Default-mode network streams for coupling to language and control systems , 2020, Proceedings of the National Academy of Sciences.
[10] Evan M. Gordon,et al. Individual-specific functional connectivity of the amygdala: A substrate for precision psychiatry , 2020, Proceedings of the National Academy of Sciences.
[11] Bennett A Landman,et al. Distortion correction of diffusion weighted MRI without reverse phase-encoding scans or field-maps , 2020, bioRxiv.
[12] Evan M. Gordon,et al. Integrative and Network-Specific Connectivity of the Basal Ganglia and Thalamus Defined in Individuals , 2019, Neuron.
[13] Timothy O. Laumann,et al. Identifying reproducible individual differences in childhood functional brain networks: An ABCD study , 2019, Developmental Cognitive Neuroscience.
[14] Francesco Renna,et al. On instabilities of deep learning in image reconstruction and the potential costs of AI , 2019, Proceedings of the National Academy of Sciences.
[15] Matthew F. Glasser,et al. Ciftify: A framework for surface-based analysis of legacy MR acquisitions , 2018, NeuroImage.
[16] T. Gureyev,et al. Noise-resolution uncertainty principle in classical and quantum systems , 2018, Scientific Reports.
[17] Evan M. Gordon,et al. Spatial and Temporal Organization of the Individual Human Cerebellum , 2018, Neuron.
[18] Evan M. Gordon,et al. Three Distinct Sets of Connector Hubs Integrate Human Brain Function. , 2018, Cell reports.
[19] Satrajit S. Ghosh,et al. FMRIPrep: a robust preprocessing pipeline for functional MRI , 2018, Nature Methods.
[20] Timothy O. Laumann,et al. Functional Brain Networks Are Dominated by Stable Group and Individual Factors, Not Cognitive or Daily Variation , 2018, Neuron.
[21] Anders M. Dale,et al. The Adolescent Brain Cognitive Development (ABCD) study: Imaging acquisition across 21 sites , 2018, Developmental Cognitive Neuroscience.
[22] Terry L Jernigan,et al. The Adolescent Brain Cognitive Development Study. , 2018, Journal of research on adolescence : the official journal of the Society for Research on Adolescence.
[23] Takashi Hanakawa,et al. Effects of Field-Map Distortion Correction on Resting State Functional Connectivity MRI , 2017, Front. Neurosci..
[24] Hui Zhang,et al. Quantitative assessment of the susceptibility artefact and its interaction with motion in diffusion MRI , 2017, PloS one.
[25] Evan M. Gordon,et al. Precision Functional Mapping of Individual Human Brains , 2017, Neuron.
[26] Rodrigo M. Braga,et al. Parallel Interdigitated Distributed Networks within the Individual Estimated by Intrinsic Functional Connectivity , 2017, Neuron.
[27] Wenbin Li,et al. Evaluation of Field Map and Nonlinear Registration Methods for Correction of Susceptibility Artifacts in Diffusion MRI , 2017, Front. Neuroinform..
[28] Steen Moeller,et al. The Human Connectome Project's neuroimaging approach , 2016, Nature Neuroscience.
[29] Satrajit S. Ghosh,et al. The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments , 2016, Scientific Data.
[30] A. Dale,et al. Characterization and Correction of Geometric Distortions in 814 Diffusion Weighted Images , 2016, PloS one.
[31] Stamatios N. Sotiropoulos,et al. An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging , 2016, NeuroImage.
[32] B. Schlaggar,et al. Considerations for MRI study design and implementation in pediatric and clinical populations , 2015, Developmental Cognitive Neuroscience.
[33] Kai-Hsiang Chuang,et al. Evaluation of EPI distortion correction methods for quantitative MRI of the brain at high magnetic field. , 2015, Magnetic resonance imaging.
[34] Evan M. Gordon,et al. Functional System and Areal Organization of a Highly Sampled Individual Human Brain , 2015, Neuron.
[35] Justin P. Haldar,et al. Correcting inhomogeneity-induced distortion in FMRI using non-rigid registration , 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).
[36] Daniel S. Margulies,et al. Evaluating nonlinear coregistration of BOLD EPI and T1w images , 2014 .
[37] Timothy O. Laumann,et al. Methods to detect, characterize, and remove motion artifact in resting state fMRI , 2014, NeuroImage.
[38] Essa Yacoub,et al. The WU-Minn Human Connectome Project: An overview , 2013, NeuroImage.
[39] Abraham Z. Snyder,et al. Function in the human connectome: Task-fMRI and individual differences in behavior , 2013, NeuroImage.
[40] Nikos Paragios,et al. Deformable Medical Image Registration: A Survey , 2013, IEEE Transactions on Medical Imaging.
[41] Gary H. Glover,et al. Spiral imaging in fMRI , 2012, NeuroImage.
[42] Bruce Fischl,et al. FreeSurfer , 2012, NeuroImage.
[43] Xuesong Zhang,et al. Commutability of Blur and Affine Warping in Super-Resolution With Application to Joint Estimation of Triple-Coupled Variables , 2012, IEEE Transactions on Image Processing.
[44] Abraham Z. Snyder,et al. Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion , 2012, NeuroImage.
[45] Torsten Rohlfing,et al. Image Similarity and Tissue Overlaps as Surrogates for Image Registration Accuracy: Widely Used but Unreliable , 2012, IEEE Transactions on Medical Imaging.
[46] Arno Klein,et al. A reproducible evaluation of ANTs similarity metric performance in brain image registration , 2011, NeuroImage.
[47] A. Snyder,et al. Longitudinal analysis of neural network development in preterm infants. , 2010, Cerebral cortex.
[48] M. A. Lambon Ralph,et al. The inferior, anterior temporal lobes and semantic memory clarified: Novel evidence from distortion-corrected fMRI , 2010, Neuropsychologia.
[49] Brian B. Avants,et al. N4ITK: Improved N3 Bias Correction , 2010, IEEE Transactions on Medical Imaging.
[50] Bruce Fischl,et al. Accurate and robust brain image alignment using boundary-based registration , 2009, NeuroImage.
[51] Arno Klein,et al. Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration , 2009, NeuroImage.
[52] Michael S. Beauchamp,et al. A new method for improving functional-to-structural MRI alignment using local Pearson correlation , 2009, NeuroImage.
[53] Nasser Kehtarnavaz,et al. Cross-Validation of Deformable Registration With Field Maps in Functional Magnetic Resonance Brain Imaging , 2008, IEEE Journal of Selected Topics in Signal Processing.
[54] Brian B. Avants,et al. Symmetric diffeomorphic image registration with cross-correlation: Evaluating automated labeling of elderly and neurodegenerative brain , 2008, Medical Image Anal..
[55] Nasser Kehtarnavaz,et al. Validation of Non-Rigid Registration Between Functional and Anatomical Magnetic Resonance Brain Images , 2008, IEEE Transactions on Biomedical Engineering.
[56] Thomas T. Liu,et al. A component based noise correction method (CompCor) for BOLD and perfusion based fMRI , 2007, NeuroImage.
[57] Stefan Skare,et al. How to correct susceptibility distortions in spin-echo echo-planar images: application to diffusion tensor imaging , 2003, NeuroImage.
[58] Matthew Brett,et al. An Evaluation of the Use of Magnetic Field Maps to Undistort Echo-Planar Images , 2003, NeuroImage.
[59] Stephen M Smith,et al. Fast robust automated brain extraction , 2002, Human brain mapping.
[60] Stefan Skare,et al. A Model-Based Method for Retrospective Correction of Geometric Distortions in Diffusion-Weighted EPI , 2002, NeuroImage.
[61] Colin Studholme,et al. Accurate alignment of functional EPI data to anatomical MRI using a physics-based distortion model , 2000, IEEE Transactions on Medical Imaging.
[62] Matthew H. Davis,et al. Susceptibility-Induced Loss of Signal: Comparing PET and fMRI on a Semantic Task , 2000, NeuroImage.
[63] R. Turner,et al. Assessing Study-Specific Regional Variations in fMRI Signal , 2000, NeuroImage.
[64] Michael Unser,et al. Unwarping of unidirectionally distorted EPI images , 2000, IEEE Transactions on Medical Imaging.
[65] Thomas Martin Deserno,et al. Survey: interpolation methods in medical image processing , 1999, IEEE Transactions on Medical Imaging.
[66] C. Pierpaoli,et al. Characterization of and correction for eddy current artifacts in echo planar diffusion imaging , 1998, Magnetic resonance in medicine.
[67] H. Stødkilde-Jørgensen,et al. State Space Models for Physiological Noise in fMRI Time Series , 1998, NeuroImage.
[68] M. Raichle,et al. Anatomic Localization and Quantitative Analysis of Gradient Refocused Echo-Planar fMRI Susceptibility Artifacts , 1997, NeuroImage.
[69] R W Cox,et al. AFNI: software for analysis and visualization of functional magnetic resonance neuroimages. , 1996, Computers and biomedical research, an international journal.
[70] Benoit M. Dawant,et al. Comparison and evaluation of retrospective intermodality image registration techniques , 1996, Medical Imaging.
[71] P. Jezzard,et al. Correction for geometric distortion in echo planar images from B0 field variations , 1995, Magnetic resonance in medicine.
[72] P. Callaghan. Susceptibility-limited resolution in nuclear magnetic resonance microscopy , 1990 .
[73] M. P. Zwiers,et al. EPI DISTORTION CORRECTION BY CONSTRAINED NONLINEAR COREGISTRATION IMPROVES GROUP FMRI , 2009 .
[74] Jack L. Lancaster,et al. A modality‐independent approach to spatial normalization of tomographic images of the human brain , 1995 .
[75] N. Otsu. A threshold selection method from gray level histograms , 1979 .