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Simultaneous multi-modal registration of multiple images based on multi-dimensional joint phase moment distributions
2008
Pattern Recognition (ICPR), Proceedings of the International Conference on
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In this paper, a novel method for simultaneously registering multiple images acquired from different imaging modalities is presented. ...
The proposed method is designed to be computationally efficient, robust to signal non-homogeneities and noise, and maintains internal consistency amongst all images. ...
Conclusions In this paper, we introduced a novel method for simultaneous multimodal registration of multiple images. ...
doi:10.1109/icpr.2008.4761912
dblp:conf/icpr/Wong08
fatcat:tlillsfug5brtnqmyw7kgkv44m
Nonrigid Registration of Brain Tumor Resection MR Images Based on Joint Saliency Map and Keypoint Clustering
2009
Sensors
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This paper proposes a novel global-to-local nonrigid brain MR image registration to compensate for the brain shift and the unmatchable outliers caused by the tumor resection. ...
Lastly, a quasi-inverse consistent deformation is smoothly approximated to locally register brain images through the mapping the clustered control points by compact support radial basis functions. ...
Warfield for allowing the use of the images, all reviewers for their useful comments and Andrea Vedaldi for the open-source implementation of the SIFT algorithm. ...
doi:10.3390/s91210270
pmid:22303173
pmcid:PMC3267221
fatcat:twfp5es57rc4xh4qmtj3w7qit4
Nonrigid registration of medical image based on adaptive local structure tensor and normalized mutual information
2019
Journal of Applied Clinical Medical Physics
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In this paper, a novel intensity-based similarity measure combining normalized mutual information with spatial information for nonrigid medical image registration is proposed. ...
Mutual information is a popular similarity measure for medical image registration; however, only the intensity statistical characteristics of the global consistency of image are considered in MI, and the ...
Finally, the movement of each control point forms a control grid with nonlinear deformation, the control grid is applied to the floating image to obtain the B-spline transformed registration image. ...
doi:10.1002/acm2.12612
pmid:31124248
pmcid:PMC6560247
fatcat:mcputupjm5girmdxdup2fgu3eq
3D Face Matching Using the Surface Interpenetration Measure
[chapter]
2005
Lecture Notes in Computer Science
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This paper proposes a novel approach to perform 3D face matching by using a new metric, called the Surface Interpenetration Measure (SIM). ...
The authors would like to thank CNPq for financial support. ...
The SIM has proved to be a robust measure for 3D image registration and the experiments presented in this paper shows that it is also suitable for 3D face matching. ...
doi:10.1007/11553595_129
fatcat:f6jbsxcwsnbwhbrod4rx7qihke
Deformable registration of CT and cone-beam CT with local intensity matching
2017
Physics in Medicine and Biology
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In this paper, we propose a method to accurately register CT and CBCT by iteratively matching local CT and CBCT intensities. ...
All three registration methods were implemented on a graphics processing unit (GPU) for efficient parallel computation. ...
Figure 5 . 5 Local refinement and overlay of sub-grids. (a) A patch surface with 49 control points. (b) Refinement and overlay of control points. ...
doi:10.1088/1361-6560/aa4f6d
pmid:28074785
pmcid:PMC5283299
fatcat:mph6a23tdzapla2lhsanau4ura
Multimodal surface matching with higher-order smoothness constraints
2018
NeuroImage
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The Multimodal Surface Matching (MSM) tool is a flexible, spherical registration approach that enables accurate registration of surfaces based on a variety of different features. ...
the biological interpretability of the distortion fields and improves the statistical significance of population-based analysis relative to other spherical methods. ...
This framework offered significant advantages for multimodal registration on account of offering a modular and flexible choice of cost functions, and deformations robust to local minima. ...
doi:10.1016/j.neuroimage.2017.10.037
pmid:29100940
pmcid:PMC5991912
fatcat:dhrkgap4zbbe3cudmyy6ajvcme
Quality time-of-flight range imaging for feature-based registration using bacterial foraging
2013
Applied Soft Computing
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and gained a high interest for distributed optimization and control, to tackle the range image registration problem. ...
First, we introduce a novel image preprocessing pipeline in order to improve the quality of time-of-flight range images and a subsequent feature extraction method considering both 2D and 3D images. ...
and p j being image points; a Registration transformation f, being a parametric function relating the two images; a Similarity metric function F, in order to measure a qualitative value of closeness or ...
doi:10.1016/j.asoc.2012.08.041
fatcat:wzweyy4d25h3tj5h2tm2semn3y
Semiautomated Multimodal Breast Image Registration
2012
International Journal of Biomedical Imaging
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To enable this comparison, a registration technique was developed to map features from 2D mammograms to locations in the 3D image space. ...
Interpreting these novel image modalities is a challenge, requiring comparison to established techniques such as the gold standard X-ray mammography. ...
Acknowledgment The authors would like to thank Dr. Bobbie Docktor for her assistance in identifying radiographic features. ...
doi:10.1155/2012/890830
pmid:22481910
pmcid:PMC3296303
fatcat:asxsgnkwhzgipbfmuae2mpd2wq
A Coarse-to-Fine Geometric Scale-Invariant Feature Transform for Large Size High Resolution Satellite Image Registration
2018
Sensors
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Wang developed an ASIFT-based local registration method for stereo satellite image pairs [18] . ASIFT was used for acquiring correspondences on input images. ...
In this paper, a novel matching approach is proposed for the large size HR satellite image registration, which is based on coarse-to-fine strategy and geometric scale-invariant feature transform (SIFT) ...
The TIN transformation is a local transformation which is used for HR images registration. ...
doi:10.3390/s18051360
pmid:29702589
pmcid:PMC5982329
fatcat:3pzt74z7kzc5degwntnv3gwrb4
Multimodal Surface Matching with Higher-Order Smoothness Constraints
[article]
2017
bioRxiv
pre-print
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The Multimodal Surface Matching (MSM) tool is a flexible, spherical registration approach that enables accurate registration of surfaces based on a variety of different features. ...
the biological interpretability of the distortion fields and improves the statistical significance of population-based analysis relative to other spherical methods. ...
This framework offered significant advantages for multimodal registration on account of offering a modular and flexible choice of cost functions, and deformations robust to local minima. ...
doi:10.1101/178962
fatcat:h5lnr6h4wzbyxitdckyr74qlka
Evaluation of distortion correction methods in diffusion MRI of the spinal cord
[article]
2021
arXiv
pre-print
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Results: As a result of distortion correction, the diffusion directions are better aligned locally with the centerline, in particular at both ends of the acquisition window. ...
Purpose: We present a comparative evaluation of distortion correction methods that use the reversed gradient polarity technique on spinal cord. ...
In addition, there is a number of distortion correction techniques, including co-registration, field map correction, point spread function (PSF) and reversed gradient polarity method (RGP). ...
arXiv:2108.03817v1
fatcat:kzp6aej46fhhxlkiaznrbqctve
Integration of optimal spatial distributed tie-points in RANSAC-based image registration
2020
European Journal of Remote Sensing
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Feature-based image registration requires the identification of correct tie-points between the image pair. ...
The main feature of the proposed method is that an optimal spatial designation of tie-points method using stratified random selection (SRS), is integrated into RANSAC framework to filter out the mismatched ...
Funding This work was supported by National Natural Science Foundation of China [91638201, 41771488], and Director Foundation (A) of the Institute of remote sensing and Digital Earth, Chinese Academy of ...
doi:10.1080/22797254.2020.1724519
fatcat:dhvvhslnqzbxthss45tt3byoji
Multimodal Registration via Mutual Information Incorporating Geometric and Spatial Context
2015
IEEE Transactions on Image Processing
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Multimodal image registration is a class of algorithms to find correspondence from different modalities. ...
In particular, we focus on the registration between a high-resolution image and a low-resolution image. ...
ACKNOWLEDGMENT The authors would like to thank Katie Dietrich-Burns for serving as an independent observer. ...
doi:10.1109/tip.2014.2387019
pmid:25561595
pmcid:PMC4465428
fatcat:ql7n7ebl3fhevbsphxygz4k3wi
Adaptive registration using local information measures
2004
Medical Image Analysis
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High degrees of freedom (DOF) warpings can be specified by manually placing control points or instantiating a regular, dense grid of control points everywhere. ...
Rapidly advancing registration methods increasingly employ warping transforms. ...
her willingness to repeat the task 6 times to support assessment of her repeatability. ...
doi:10.1016/j.media.2004.03.001
pmid:15567709
fatcat:upukqy6afvbfxdtakopkoqmfey
Landform Monitoring and Warning Framework Based on Time Series Modeling of Topographic Databases
2015
Geosciences
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Global Positioning System (GPS) and geodetic control networks are used today for analyzing and monitoring time-dependent crustal deformations, providing a series of accurate positional measurements to ...
, thus facilitating a reliable and precise landform monitoring and warning framework for geomorphodynamic analyses. ...
For such a purpose, novel morphologic maxima point identification is developed. ...
doi:10.3390/geosciences5020177
fatcat:zjb6r2idsfg35a4whgucdigsba
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