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Implicit reference-based group-wise image registration and its application to structural and functional MRI
2009
NeuroImage
Preserved Fulltext
The performance of pair-wise and group-wise registration algorithms was evaluated for spatial normalization of structural and functional MRI data. ...
In contrast, implicit reference group-wise (IRG) registration estimates correspondences between a group of images by jointly registering the images to an implicit reference corresponding to the group average ...
Acknowledgments This work was supported in part by the Intramural Research Program of the National Institute on Drug Abuse (NIDA), National Institute of Health (NIH) and NIH grant EB004126. ...
doi:10.1016/j.neuroimage.2009.04.024
pmid:19371788
pmcid:PMC2719682
fatcat:ke6atmthqndhdnnokv6bablpp4
Learning unbiased group-wise registration (LUGR) and joint segmentation: evaluation on longitudinal diffusion MRI
[article]
2021
arXiv
pre-print
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We here propose an analytical framework based on an unbiased learning strategy for group-wise registration that simultaneously registers images to the mean space of a group to obtain consistent segmentations ...
The results confirm that the implicit reference image is an average of the input image. ...
, CVON2018-28), and the Dutch Heart Foundation (PPP Allowance, 2018B011). ...
arXiv:2011.01869v2
fatcat:avlqepi5gnhuliqhrdw5k6o5iu
Unbiased Group-Wise Image Registration: Applications in Brain Fiber Tract Atlas Construction and Functional Connectivity Analysis
2010
Journal of medical systems
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We propose an unbiased implicit-reference group-wise (IRG) image registration method and demonstrate its applications in the construction of a brain white matter fiber tract atlas and the analysis of resting-state ...
Compared to reference-based registration, the IRG registration improves the fiber track overlap within the group. ...
The current work applies an unbiased implicit-reference group-wise (IRG) registration framework [9] to the study of brain white matter fiber tracts and resting-state functional connectivity. ...
doi:10.1007/s10916-010-9509-9
pmid:20703687
pmcid:PMC2987551
fatcat:fdlbvlwbozghfonythfslg6zxm
Particle-Guided Image Registration
[chapter]
2013
Lecture Notes in Computer Science
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We demonstrate the results of our method in an application of rodent brain structure segmentation and show that our method provides better accuracy in two structures compared to other registration methods ...
Moreover, the use of corresponding particles naturally extends our method to a group-wise registration by computing a mean of particles. ...
Non-rigid registration is a crucial tool to process such MRIs providing structural segmentations and enabling the analysis of group differences. ...
doi:10.1007/978-3-642-40760-4_26
fatcat:3cglbw4bxjbhnaeaiuxgyxnati
Registration of challenging pre-clinical brain images
2013
Journal of Neuroscience Methods
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Existing systems for registration (the systematic alignment of scans into a consistent anatomical coordinate system), which assume image similarity to a reference scan, may fail when applied to these images ...
We tested this technique systematically in a simulated human population of brain tumour images before applying it to pre-clinical models of Parkinson's disease and stroke. ...
Group-wise registration can be computationally demanding; however, it is not clear that defining such a compromise reference is advantageous when there is large variation in image appearances. ...
doi:10.1016/j.jneumeth.2013.03.015
pmid:23558335
pmcid:PMC3683149
fatcat:jehsf4z5nbgbxk54vcti4pji7a
A comparison of automated anatomical–behavioural mapping methods in a rodent model of stroke
2013
Journal of Neuroscience Methods
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Tensor-based morphometry (TBM) has been used to perform voxel-wise structural analyses over the entire brain; however, a combination of lesion hyper-intensities and subtle structural remodelling away from ...
damage, due to conditions such as stroke, results in a complex pattern of structural changes and significant behavioural dysfunctions; the automated analysis of magnetic resonance imaging (MRI) and discovery ...
The authors would like to thank the British Heart Foundation for providing supporting the 7T MRI scanner (Preclinical Imaging Unit, King's College London) used in this work. ...
doi:10.1016/j.jneumeth.2013.05.009
pmid:23727124
pmcid:PMC3759848
fatcat:r3xqgkzb7naybmyekbs22drk5a
DeepCSR: A 3D Deep Learning Approach for Cortical Surface Reconstruction
[article]
2020
arXiv
pre-print
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The study of neurodegenerative diseases relies on the reconstruction and analysis of the brain cortex from magnetic resonance imaging (MRI). ...
Traditional frameworks for this task like FreeSurfer demand lengthy runtimes, while its accelerated variant FastSurfer still relies on a voxel-wise segmentation which is limited by its resolution to capture ...
This registration aims to unify the coordinate systems across different MR scans easing the learning and prediction of implicit surfaces. ...
arXiv:2010.11423v1
fatcat:yuiaqrjx75gexcl3vhghblhfi4
Computational neuroanatomy of baby brains: A review
2018
NeuroImage
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The first postnatal years are an exceptionally dynamic and critical period of structural, functional and connectivity development of the human brain. ...
We also summarize publically available infant-dedicated resources, including MRI datasets, computational tools, grand challenges, and brain atlases. ...
Acknowledgements This work was partially supported by NIH grants (MH100217, MH107815, MH108914, MH109773, MH110274 and NS093842). ...
doi:10.1016/j.neuroimage.2018.03.042
pmid:29574033
pmcid:PMC6150852
fatcat:w2o27wt5afhktd7zoophmhnmi4
Front Matter: Volume 10574
2018
Medical Imaging 2018: Image Processing
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using a Base 36 numbering system employing both numerals and letters. ...
Utilization of CIDs allows articles to be fully citable as soon as they are published online, and connects the same identifier to all online and print versions of the publication. ...
24]
10574 0Q
Self-reference-based and during-registration detection of motion artifacts in spatio-
temporal image data [10574-25]
10574 0R
GPU-based stochastic-gradient optimization for non-rigid ...
doi:10.1117/12.2315755
fatcat:jdfbaent6vhu5dwlrqrqt66vce
Advances and challenges in deformable image registration: From image fusion to complex motion modelling
2016
Medical Image Analysis
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, the advent of dedicated longitudinal and cross-sectional brain studies soon necessitated the development of more sophisticated methods that are able to detect and measure local structural or functional ...
, deformable image registration for a wide range of medical applications and imaging modalities, involving the compensation and analysis of physiological organ motion or of tissue changes due to growth ...
Acknowledgments The authors wish to acknowledge funding 270 from CRUK and EPSRC, and the contributions of other researchers associated with their laboratories, including but not limited to: Amalia Cifor ...
doi:10.1016/j.media.2016.06.031
pmid:27364430
fatcat:ug7aw3jbhbb2xe5qrwhd3qbitu
From label fusion to correspondence fusion: A new approach to unbiased groupwise registration
2012
2012 IEEE Conference on Computer Vision and Pattern Recognition
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Instead of computing a consensus segmentation, weighted voting is used to estimate a consensus coordinate map between a target image and a reference space. ...
Evaluation in synthetic data shows that correspondences recovered by fusion methods are more accurate than those based on registration to a population template. ...
, to establish group-wise correspondences. ...
doi:10.1109/cvpr.2012.6247771
pmid:24457950
pmcid:PMC3896982
fatcat:2zrbiatfmjbrdprvnju6iuzcfu
Non-rigid image registration: theory and practice
2004
British Journal of Radiology
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In this paper we discuss the current state of the art of non-rigid registration to put on-going research in context and to highlight current and future clinical applications that might benefit from this ...
Image registration is an important enabling technology in medical image analysis. ...
Images comprising Figures 2-6 were provided by members of the Computational Imaging Science Group at Guy's Hospital: K Leung, funded by EPSRC and ...
doi:10.1259/bjr/25329214
pmid:15677356
fatcat:fgcrow4uzjf27arer4yb2ifyve
System for Integrated Neuroimaging Analysis and Processing of Structure
2012
Neuroinformatics
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Recent developments with MRI analysis of structural connectivity, anatomical brain segmentation, cortical surface parcellation, and functional imaging have yielded fantastic advances in our ability to ...
This effort combines and extends state-of-the-art techniques to simultaneously consider and analyze structural and diffusion information alongside quantitative and functional imaging data. ...
Acknowledgments The authors are appreciative of the careful feedback from the anonymous reviewers and editor (Dr. David Kennedy). ...
doi:10.1007/s12021-012-9159-9
pmid:22932976
pmcid:PMC3511612
fatcat:krgqmregs5hqnm3isklageiqi4
Multi-contrast anatomical subcortical structures parcellation
2020
eLife
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It has been carefully validated against expert human raters and previous methods, and can easily be extended to other subcortical structures and applied to any quantitative MRI dataset. ...
In sum, we hope this novel parcellation algorithm will facilitate functional and structural neuroimaging research into small subcortical nuclei and help to chart terra incognita. ...
We also thank Steven Miletić and Dagmar Timmann for stimulating discussions around this topic, and all undergraduate students who contributed to the manual delineations. ...
doi:10.7554/elife.59430
pmid:33325368
pmcid:PMC7771958
fatcat:bblosvpn35bcpjdydulognwheu
Evaluation of group-specific, whole-brain atlas generation using Volume-based Template Estimation (VTE): Application to normal and Alzheimer's populations
2014
NeuroImage
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MRI-based human brain atlases, which serve as a common coordinate system for image analysis, play an increasingly important role in our understanding of brain anatomy, image registration, and segmentation ...
It has been tested for segmented brain structures, such as the hippocampus, but its validity on whole-brain MR images has not been examined. ...
Institute of Biomedical Imaging and Bioengineering. ...
doi:10.1016/j.neuroimage.2013.09.011
pmid:24051356
pmcid:PMC3860098
fatcat:utxce5q4rbdbrfgj7isylg7cgy
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