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Segmented simultaneous multi-slice diffusion-weighted imaging with navigated 3D rigid motion correction
2021
Magnetic Resonance in Medicine
To improve the robustness of diffusion-weighted imaging (DWI) data acquired with segmented simultaneous multi-slice (SMS) echo-planar imaging (EPI) against in-plane and through-plane rigid motion. ...
This work demonstrates the feasibility of retrospective 3D rigid motion correction from shot navigators for segmented SMS DWI. ...
Single-shot echo-planar imaging (EPI) has for years been the clinical standard for DWI, as it suppresses motion artifacts by fast one-time k-space traversal 2 being commonly accelerated by parallel imaging ...
doi:10.1002/mrm.28813
pmid:33955588
fatcat:kj6sweufhba75pew4wm7lpdosy
Diffeomorphic Image Registration of Diffusion MRI Using Spherical Harmonics
2011
IEEE Transactions on Medical Imaging
Non-rigid registration of diffusion MRI is crucial for group analyses and building white matter and fiber tract atlases. ...
Most current diffusion MRI registration techniques are limited to the alignment of diffusion tensor imaging (DTI) data. ...
Acknowledgments This work was supported by the Intramural Research Program of the National Institute on Drug Abuse (NIDA), National Institute of Health (NIH). ...
doi:10.1109/tmi.2010.2095027
pmid:21134814
pmcid:PMC3860760
fatcat:atpdbzpf6fbq3avli37uackjyi
Cortical surface registration using unsupervised learning
2020
NeuroImage
Non-rigid cortical registration is an important and challenging task due to the geometric complexity of the human cortex and the high degree of inter-subject variability. ...
We propose a resampling weight in computing the data fitting loss to account for distortions introduced by polar projection, and demonstrate the performance of our proposed method on two tasks, including ...
Introduction Non-rigid shape registration is an important area of research in medical imaging, in particular for establishing cross-subject spatial correspondence in the cerebral cortex. ...
doi:10.1016/j.neuroimage.2020.117161
pmid:32702486
pmcid:PMC7784120
fatcat:7eqo3zodxbgg5j7lmf4z2qkyme
Diffusion MRI Registration Using Orientation Distribution Functions
[chapter]
2009
Lecture Notes in Computer Science
The similarity cost of the registration is defined by the ODF shape distance calculated from the spherical harmonic coefficients. ...
The ODFs were reconstructed using a q-ball imaging (QBI) technique to resolve intravoxel fiber crossing. ...
Acknowledgments This work was supported by the Intramural Research Program of the National Institute on Drug Abuse (NIDA), National Institute of Health (NIH). ...
doi:10.1007/978-3-642-02498-6_52
fatcat:wduvcqwsmvbidpvytzmq5j3eee
Evaluating similarity measures for brain image registration
2013
Journal of Visual Communication and Image Representation
Evaluation of similarity measures for image registration is a challenging problem due to its complex interaction with the underlying optimization, regularization, image type and modality. ...
We propose a single performance metric, named robustness, as part of a new evaluation method which quantifies the effectiveness of similarity measures for brain image registration while eliminating the ...
Acknowledgments This work was partially supported by National Institute of Health -National Institute of Aging through a T32 federal grant number AG000261-12. ...
doi:10.1016/j.jvcir.2013.06.010
pmid:24039378
pmcid:PMC3771653
fatcat:ttfa4wig2jhojaaae7nmhrqegm
Cortical surface registration using unsupervised learning
[article]
2020
arXiv
pre-print
Non-rigid cortical registration is an important and challenging task due to the geometric complexity of the human cortex and the high degree of inter-subject variability. ...
We propose a resampling weight in computing the data fitting loss to account for distortions introduced by polar projection, and demonstrate the performance of our proposed method on two tasks, including ...
Introduction Non-rigid shape registration is an important area of research in medical imaging, in particular for establishing cross-subject spatial correspondence in the cerebral cortex. ...
arXiv:2004.04617v2
fatcat:kexmfiiu5bhvnig546qbbsuip4
Modeling & Analysis
2003
NeuroImage
Abstract A new neural network algorithm has been developed for the automatic visual segmentation of T1-weighted 3-D head magnetic resonance images. ...
Abstract Order of appearance: 789 Abstract Background Magnetic resonance may provide image series describing cerebral functionalities correlated with external stimuli[1]. ...
Conclusion We propose a processing chain to analyse structural brain changes in time series of MR images. ...
doi:10.1016/s1053-8119(05)70006-9
fatcat:zff2suxcofbxvetfrwfwcxi3zm
École de Physique des Houches
[chapter]
2006
Les Houches
Established in 1951, the Physics School is located in a group of chalets surrounded by meadows and woods, at an altitude of 1150 m facing the Mont-Blanc range -a very favourable environment for intellectual ...
activity in ideal surroundings for skiing, hiking or mountaineering. ...
C., Obry, F., Waltmann, E., Hadj-Rabia, S., Bodemer, C., Alembik, Y., Lesot, H., and Schmittbuhl, M. (2008)
correlaTive analysis of recurrenT MulTicolor fluorescence iMaGes To characTerize in vivo ...
doi:10.1016/s0924-8099(06)80084-3
fatcat:6w7diik2k5af7cpowh4xz3nsky
ÉCole De Physique Des Houches
[chapter]
2007
Les Houches
Established in 1951, the Physics School is located in a group of chalets surrounded by meadows and woods, at an altitude of 1150 m facing the Mont-Blanc range -a very favourable environment for intellectual ...
activity in ideal surroundings for skiing, hiking or mountaineering. ...
C., Obry, F., Waltmann, E., Hadj-Rabia, S., Bodemer, C., Alembik, Y., Lesot, H., and Schmittbuhl, M. (2008)
correlaTive analysis of recurrenT MulTicolor fluorescence iMaGes To characTerize in vivo ...
doi:10.1016/s0924-8099(13)60020-7
fatcat:jydcwidbbnf3nppqp4x3pyu6ga
École de Physique des Houches
[chapter]
2008
Les Houches
Established in 1951, the Physics School is located in a group of chalets surrounded by meadows and woods, at an altitude of 1150 m facing the Mont-Blanc range -a very favourable environment for intellectual ...
activity in ideal surroundings for skiing, hiking or mountaineering. ...
C., Obry, F., Waltmann, E., Hadj-Rabia, S., Bodemer, C., Alembik, Y., Lesot, H., and Schmittbuhl, M. (2008)
correlaTive analysis of recurrenT MulTicolor fluorescence iMaGes To characTerize in vivo ...
doi:10.1016/s0924-8099(13)60004-9
fatcat:nxiezedqabbbtnfqonvw6c3doi
Quality assessment of anatomical MRI images from Generative Adversarial Networks: human assessment and image quality metrics
[article]
2022
bioRxiv
pre-print
Reference human data was obtained by recruiting neuroimaging experts to assess real Magnetic Resonance (MR) images and images generated by a Wasserstein GAN. ...
of brain images produced by GANs. ...
KAT was supported by the Guarantors of Brain (G101149). ...
doi:10.1101/2022.01.03.474792
fatcat:jtlqr7r2wzcrvh3obngfvvwite
Comparing Cyclicity Analysis With Pre-established Functional Connectivity Methods to Identify Individuals and Subject Groups Using Resting State fMRI
2020
Frontiers in Computational Neuroscience
of the brain. ...
The resting state fMRI time series appears to have cyclic patterns, which indicates presence of cyclic interactions between different brain regions. ...
magnetic resonance imaging (fMRI) data. ...
doi:10.3389/fncom.2019.00094
pmid:32038211
pmcid:PMC6984040
fatcat:diwhjsmqnjhhhiqd5ajebm5br4
Dynamic causal modelling of phase-amplitude interactions
[article]
2019
arXiv
pre-print
We then demonstrate, using local field potential recordings in rodents and functional magnetic resonance imaging in macaque monkeys, that amplitudes in oscillator models play an important role in describing ...
This allows for the separate quantifications of phase and amplitude contributions to the connectivity between neural regions. ...
(Xu et al., 2018) . fMRI data pre-processing: We pre-process the data using the FSL image analysis tools as follows: each 4D fMRI scan is registered to a single echo planar image from an earlier session ...
arXiv:1909.08509v1
fatcat:hzykhkvfevfphp44knpkaoz4k4
Modelling the data and not the images in FMRI
[article]
2018
arXiv
pre-print
The standard approach to the analysis of functional magnetic resonance imaging (FMRI) data applies various preprocessing steps to the original FMRI. ...
A genuine approach to the statistical analysis of FMRI data of brain scans is derived from first principles that is deeply rooted in statistical test theory. ...
Introduction In their review of the implementation and use of the gen eral linear model (GLM) in functional magnetic resonance imaging (FMRI) analysis, Poline and Brett (1) make the observation that the ...
arXiv:1809.07232v1
fatcat:ntc2lmsyobhcfgb2uqjbpw5kyy
Dynamic causal modelling of phase-amplitude interactions
2019
NeuroImage
We then demonstrate, using local field potential recordings in rodents and functional magnetic resonance imaging in macaque monkeys, that amplitudes in oscillator models play an important role in describing ...
This allows for the separate quantifications of phase and amplitude contributions to the connectivity between neural regions. ...
Acknowledgements We would like to thank the reviewers, whose thorough feedback contributed significantly to the paper in its final form. E.D.F. and R.L were funded by the MRC ( ...
doi:10.1016/j.neuroimage.2019.116452
pmid:31830589
fatcat:qqozzoshbrdfpazlf27p7ltriq
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