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Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration
2009
NeuroImage
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A viscous fluid regularizer was applied to guarantee diffeomorphic (i.e., smooth, one-to-one) deformation mappings. ...
The nonlinear deformation programs are listed in alphabetical order after the linear registration program FLIRT. ...
doi:10.1016/j.neuroimage.2008.12.037
pmid:19195496
pmcid:PMC2747506
fatcat:447owlbmybclzjafnkai35o6r4
MRI構造画像を用いたVoxel-based morphometry
Voxel-based Morphometry Using Structural MRI
2016
Medical Imaging Technology
Voxel-based Morphometry Using Structural MRI
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.: Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration. ...
Neuroimage 14: 1454-1462, 2001 ［ 4 ］ Eckert MA, Tenforde A, Galaburda AM, et al.: To modulate or not to modulate: Differing results in uniquely shaped Williams syndrome brains. ...
It has become a major analysis technique since it was firstly applied to psychological and neurological diseases accompanying cerebral atrophy, and is now also applied to cognitive sciences fields. ...
doi:10.11409/mit.34.3
fatcat:2cgyfexvgfhjzlxnhlx64cxmai
Performing label-fusion-based segmentation using multiple automatically generated templates
2012
Human Brain Mapping
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We demonstrate the efficacy of our method for the mouse and human using two different nonlinear registration algorithms (ANIMAL and ANTs). ...
Classically, model-based segmentation procedures match magnetic resonance imaging (MRI) volumes to an expertly labeled atlas using nonlinear registration. ...
MMC would also like to thank G. Clinton, E. Hazel, and B. Worrell for inspiring this work. ...
doi:10.1002/hbm.22092
pmid:22611030
pmcid:PMC4896505
fatcat:vrn5y7zndvhadklclm4j7xkpsy
Image Registration Methods for Patient-Specific Virtual Physiological Human Models
[article]
2015
Eurographics Workshop on Visual Computing for Biomedicine
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Virtual physiological human (VPH) model and magnetic resonance image (MRI) are used for patient-specific image registration. ...
Results are presented in the form of image registration with respect to the skin of the models. ...
[LSU * 12] developed a technique to automate landmark selection for nonlinear medical image registration using local curvature on anatomical contours applied to MRI and histological sections of brain images ...
doi:10.2312/vcbm.20151206
dblp:conf/vcbm/OliveiraGD15
fatcat:mclo3uclgrdvtdlkeumvecqhzy
Flexible Bayesian Modelling for Nonlinear Image Registration
[article]
2020
arXiv
pre-print
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The model is evaluated at inter-subject registration of 3D human brain scans. Here, the main modeling assumption is that individual anatomies can be generated by deforming a latent 'average' brain. ...
The method is agnostic to imaging modality and can be applied with no prior processing. We evaluate the algorithm using freely available, manually labelled datasets. ...
Using the affine registrations as baseline, the results showed 6% to 17% greater accuracy improvements when compared to those achieved for the second most accurate nonlinear registration algorithm evaluated ...
arXiv:2006.02338v1
fatcat:vgqnm3zhvna4xpnmo64samvnwe
Nonlinear Registration and Template-Driven Segmentation
[chapter]
1999
Brain Warping
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Acknowledgements This investigation was supported by grants P01 CA67165-01A1 (FJ, RK), P01 AG4953-14 (RK) and BES 9631710 (RK). ...
We applied an automated analysis to a series of 28 MR scans, from 14 schizophrenia patients and 14 normal controls. ...
Deformations were applied to the atlas after artificially colouring the sections, and the elastic matching algorithm applied to recover the deformation. ...
doi:10.1016/b978-012692535-7/50080-x
fatcat:yvg63jiblzgopdogu46evqtkqy
Non-linear cerebral registration with sulcal constraints
[chapter]
1998
Lecture Notes in Computer Science
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the standard linear and nonlinear registration methods, respectively. ...
Here, the technique is modified to incorporate sulcal ribbons in conjunction with a chamfer distance objective function to improve registration in real MRI data as well. ...
This work forms part of a continuing project of the HBMP-funded International Consortium for Brain Mapping (ICBM) to develop a probabilistic atlas of human neuroanatomy. ...
doi:10.1007/bfb0056286
fatcat:kfirvpanvnfmdgt6rkztmswsgm
Slice-to-Volume Nonrigid Registration of Histological Sections to MR Images of the Human Brain
2011
Anatomy Research International
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Algorithms are applied to cross-modality registration of histological and magnetic resonance images of the human brain. ...
Registration performance is evaluated across a range of optimization algorithms and intensity-based cost functions. ...
of Leipzig. ...
doi:10.1155/2011/287860
pmid:22567290
pmcid:PMC3335496
fatcat:qdwyg6fczzhsxnw4iiqdf7pjri
Optimization of the SNR-resolution tradeoff for registration of magnetic resonance images
2008
Human Brain Mapping
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The deformation fields were used to evaluate registration performance of each tradeoff relative to the gold standard. ...
Image resolution should be adjusted to produce this target voxel SNR when registration is a central processing task. Hum Brain Mapp 29:1147-1158, 2008. V V C 2007 Wiley-Liss, Inc. ...
The authors thank Victoria Bonn for specimen preparation, Nir Lifshitz and Jun Dazai for design/construction of the imaging probe, and Brian Nieman for pulse sequence development. Dr. R. ...
doi:10.1002/hbm.20453
pmid:17957707
fatcat:lqlicrsmpvcjznd35o4wboghbu
Mapping registration sensitivity in MR mouse brain images
2013
NeuroImage
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Here we develop a novel approach to simulate deformations on MR brain images to evaluate the ability of two registration algorithms to extract structural differences corresponding to biologically plausible ...
Nonlinear registration algorithms provide a way to estimate structural (brain) differences based on magnetic resonance images. ...
In excess of 125,000 CPU hours were used to create the simulated deformation fields and perform the registrations. ...
doi:10.1016/j.neuroimage.2013.06.004
pmid:23756204
fatcat:clypzaibj5aojhbs6j6xj2nxdq
Warping an atlas derived from serial histology to 5 high-resolution MRIs
2018
Scientific Data
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Dice's Kappa metric was used to demonstrate high quality registration and segmentation accuracy of the atlases. ...
to facilitate atlas-to-template nonlinear transformation estimation. ...
Nonlinear Registration Algorithms The ANIMAL algorithm 42, 43 was used for the nonlinear registration of the histologically-derived atlas to the five MRI templates, which deforms a source MRI volume, ...
doi:10.1038/sdata.2018.107
pmid:29917012
pmcid:PMC6007088
fatcat:vzn5il6irretzmjusi75jhmbfm
Multimodal Whole Brain Registration: MRI and High Resolution Histology
2016
2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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Integration on ultra-high field mri and histology
Mann, and R. V. Parsey. Evaluation of 14 nonlinear defor- for connectome based research of brain disorders. ...
Frontiers
mation algorithms applied to human brain mri registration. in Neuroanatomy, 7, 2013. 2
NeuroImage, 1(46), 2009. 5 [36] P. A. ...
doi:10.1109/cvprw.2016.85
dblp:conf/cvpr/AlegroALHAZUG16
fatcat:izxuwskkybcx5i62badvy5z5ya
Validation of a nonrigid registration algorithm for multimodal data
2002
Medical Imaging 2002: Image Processing
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We describe the evaluation of a non-rigid image registration method for multi-modal data. ...
Each of these approaches are limited and in this paper, we illustrate some of the problems that arise based on their application to the evaluation of our multi-modal non-rigid registration method. ...
Toga for providing the MRI dataset. ...
doi:10.1117/12.467170
dblp:conf/miip/RogeljKG02
fatcat:hcg36ttp6vfv7jl54uowj7j7rm
Synthesis of 3D MRI Brain Images With Shape and Texture Generative Adversarial Deep Neural Networks
2021
IEEE Access
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Brain registration algorithms in established brain processing pipelines [15] , [22] apply a twostep transformation process namely a global affine alignment and a local nonlinear registration. ...
State-of-art nonlinear registration algorithms apply a topology-preserving diffeomorphic transform, which iteratively optimizes an energy function and are computationally demanding. ...
doi:10.1109/access.2021.3075608
fatcat:wkmezhv2ujdsddjv4zwabxx3j4
Statistically assisted fluid image registration algorithm - SAFIRA
2010
2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro
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Here we extend this algorithm to 3D: given 3D brain images from a population, vector fields and their corresponding deformation matrices are computed in a first round of registrations using the non-statistical ...
We also compared the power of the different algorithms using tensor-based morphometry -a technique to analyze local volumetric differences in brain structure-applied to 46 3D brain scans from healthy monozygotic ...
The use of empirical statistics has been advocated many times, but none of the 14 nonlinear registration methods evaluated in [10] uses empirical information on brain variation during the registration ...
doi:10.1109/isbi.2010.5490335
pmid:30555622
pmcid:PMC6291216
fatcat:7cwrewlsybdurpqofmpnoj7ohq
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