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Robust voxel similarity metrics for the registration of dissimilar single and multimodal images
1999
Pattern Recognition
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Three case studies are considered: the registration of single modal and multimodal 3D medical images, the matching of multispectral remotely sensed images, and the registration of intensity and range images ...
In this paper, we develop data driven registration algorithms, relying on pixel similarity metrics, that enable an accurate (subpixel) rigid registration of dissimilar single or multimodal 2D/3D images ...
Denis Bruckert (Groupement de Recherche en TeH leH deH tection et RadiomeH trie, LSIIT) for providing the NOAA images and Dr. ...
doi:10.1016/s0031-3203(98)00167-8
fatcat:bb5keysqhjhalp2sxsdtam5eay
Single- and multimodal subvoxel registration of dissimilar medical images using robust similarity measures
1998
Medical Imaging 1998: Image Processing
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In the present p a p e r , w e d e v elop data driven registration algorithms, relying on robust pixel similarity metrics, that enable an accurate (subvoxel) rigid registration of dissimilar single or ...
Two case studies are considered : the registration of MR/MR and MR/SPECT image volumes of patients su ering from multiple sclerosis and epilepsy. ...
ACKNOWLEDGEMENTS The study has been supported by the Commission of the European Communities, DG XII, in the framework of the TMR program (Training and Mobility of Researchers), contract Nr ERBFMIBCT960701 ...
doi:10.1117/12.310863
dblp:conf/miip/NikouHAN98
fatcat:b3neddypqvaprod7tr47ohl34m
Laplacian eigenmaps for multimodal groupwise image registration
2017
Medical Imaging 2017: Image Processing
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The results show increased accuracy and robustness compared to other state-of-the-art groupwise registration methodologies. ...
both the number of modalities and number of images under consideration. ...
Registering a group of multimodal images can be performed by choosing a single image as a reference and registering all other images to this single reference image. ...
doi:10.1117/12.2248719
dblp:conf/miip/PolflietKNV17
fatcat:oe3etpplzvekblv6vomdyadkma
Registration of MR/MR and MR/SPECT Brain Images by Fast Stochastic Optimization of Robust Voxel Similarity Measures
1998
NeuroImage
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This paper describes a robust, fully automated algorithm to register intrasubject 3D single and multimodal images of the human brain. ...
The fast simulated annealing algorithm combined with robust estimation yields registration errors that are less than 1°in rotation and less than 1 voxel in translation (image dimensions of 128 3 ). ...
Similarity measures have been proposed for both single and multimodal medical image registration. ...
doi:10.1006/nimg.1998.0335
pmid:9698573
fatcat:4py6ts3y4vbkhnmsm4kev7igji
miLBP: a robust and fast modality-independent 3D LBP for multimodal deformable registration
2016
International Journal of Computer Assisted Radiology and Surgery
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Furthermore, in the most challenging registration between preoperative magnetic resonance imaging and intra-operative ultrasound images, our approach significantly outperforms the state-of-the-art methods ...
Methods This paper introduces a novel robust and fast modality-independent 3D binary descriptor, called miLBP, which integrates the principle of local self-similarity with a form of local binary pattern ...
Inspired by the promising results of local self-similaritybased descriptors in medical image registration and the fast and robust property of binary descriptors, in this paper, we present a novel robust ...
doi:10.1007/s11548-016-1407-2
pmid:27250854
pmcid:PMC4893381
fatcat:ve5inh34xffyzidwjqdxtveiui
Learning-Based Multimodal Image Registration for Prostate Cancer Radiation Therapy
[chapter]
2016
Lecture Notes in Computer Science
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In this paper, we propose a learning-based approach for multimodal image registration. ...
Then, MRI-to-CT registration is steered in a dual manner of registering images with same appearances, i.e., (1) registering the synthesized CT with CT, and (2) also registering MRI with the synthesized ...
The consistently higher DSC and lower SASD and HAUS by our proposed method demonstrate both its robustness and accuracy in multimodal image registration. ...
doi:10.1007/978-3-319-46726-9_1
pmid:28975161
pmcid:PMC5621733
fatcat:feaetdgnhvfqllbneutpd6372q
Robust Image Registration using Mixtures of t-distributions
2007
2007 IEEE 11th International Conference on Computer Vision
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We propose a pixel similarity-based algorithm enabling accurate rigid registration between single and multimodal images presenting gross dissimilarities due to noise, missing data or outlying measures. ...
Experimental results indicate that, even in the case of images presenting low SNR or important amount of dissimilarities due to temporal changes, the proposed algorithm compares favorably to the histogram-based ...
Tzavaras, Laboratory of General Biology, School of Medicine, University of Ioannina, for providing the cell images and Dr. J. P. ...
doi:10.1109/iccv.2007.4409127
dblp:conf/iccv/GerogiannisNL07
fatcat:4aponbpicvedrmgdvi5c5tgjci
Comparison and extension of three methods for automated registration of multimodal plant images
2019
Plant Methods
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The performance of registration methods is validated in terms of robustness and accuracy measured by a direct comparison with manually segmented images of different plants. ...
Consequently, it is not clear a priori what image features and registration techniques are suitable for the alignment of various multimodal plant images. ...
Acknowledgements We would like to thank Mohammad-Reza Hajirezaei from the Molecular Plant Nutrition Group of IPK Gatersleben for kindly providing the image data of the Arabidopsis growth experiment. ...
doi:10.1186/s13007-019-0426-8
pmid:31168314
pmcid:PMC6487531
fatcat:xrrnecd2rjbudfx4vnxvlp6f7y
Warning navigation system using real-time safe region monitoring for otologic surgery
2012
International Journal of Computer Assisted Radiology and Surgery
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Furthermore, in the most challenging registration between preoperative magnetic resonance imaging and intra-operative ultrasound images, our approach significantly outperforms the state-of-the-art methods ...
However, multimodal deformable registration remains a challenging task. ...
), the National High Technology Research and Development Program (2015AA020507), Science and Technology Commission of Shanghai Municipality (No. 15441905500) and Zhejiang Public Technology Research Program ...
doi:10.1007/s11548-012-0797-z
pmid:23161169
fatcat:mstjdxgbfvhibpvz3ce7mgnjra
Intraoperative visualization of cerebral oxygenation using hyperspectral image data: a two-dimensional mapping method
2014
International Journal of Computer Assisted Radiology and Surgery
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Furthermore, in the most challenging registration between preoperative magnetic resonance imaging and intra-operative ultrasound images, our approach significantly outperforms the state-of-the-art methods ...
However, multimodal deformable registration remains a challenging task. ...
), the National High Technology Research and Development Program (2015AA020507), Science and Technology Commission of Shanghai Municipality (No. 15441905500) and Zhejiang Public Technology Research Program ...
doi:10.1007/s11548-014-0989-9
pmid:24737109
fatcat:rr4wsorkdne4nkjwyokwodhhve
Deep Learning Based Inter-modality Image Registration Supervised by Intra-modality Similarity
[chapter]
2018
Lecture Notes in Computer Science
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In this paper, we propose to train a non-rigid inter-modality image registration network, which can directly predict the transformation field from the input multimodal images, such as CT and MR images. ...
In the testing stage, the trained inter-modality registration network can be directly applied to register the new multimodal images without any paired data. ...
Fig. 1 . 1 An example of the multimodal images: pelvic CT and MR images from the same subject after affine registration. Local deformations are obvious in bladder, prostate and rectum. ...
doi:10.1007/978-3-030-00919-9_7
pmid:31098597
pmcid:PMC6516490
fatcat:dvtuxr5scbd6xiplu6kf4my2nq
A FULLY AUTOMATED INCREMENTAL PHOTOGRAMMETRIC PROCESSING DEDICATED FOR COLLABORATIVE REMOTE-COMPUTING WORKFLOW
2019
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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In order to fully benefit of collaborative semantic enrichment of spatially oriented resources, a versatile and robust solution have been developed to enable incremental registration of image-sets within ...
Current use of SFM and photogrammetric methods implies their extensions to facilitate the management of complex multimodal data sets carried-out by different experts around a single heritage asset. ...
Support of spherical images • Integration of new descriptors like Maximal Self-Dissimilarity or Mutual Information to endorse radiometric robustness of image matching • Extension of automatic GCP's extraction ...
doi:10.5194/isprs-archives-xlii-2-w9-565-2019
fatcat:h4mbyix7obbfrjjc2pdb37x4xy
Multichannel Image Registration using Gabor Wavelet Transform
2013
IOSR Journal of Electronics and Communication Engineering
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Experiments on both simulated and real multichannel images illustrate the applicability and robustness of the proposed registration method that combines information across modalities. ...
Multichannel images are created by coregistering multimodality images of the same subject to utilize information across modalities comprehensively. ...
Acknowledgement The author would like to acknowledge the help from the work of Yang Li and Ragini Verma ...
doi:10.9790/2834-0833136
fatcat:th7zyy73pnaifplofgfde4qt2i
A Deep Metric for Multimodal Registration
[chapter]
2016
Lecture Notes in Computer Science
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ALBERTs atlases are copyrighted by Imperial College of Science, Technology and Medicine and Ioannis S. Gousias 2013. B. Gutiérrez-Becker thanks the financial support of CONACYT and the DAAD. ...
Introduction Multimodal registration is a very challenging problem in medical imaging commonly faced during image-guided interventions and data fusion [13] . ...
To the best of our knowledge, this is the first time that CNNs are used in the context of multimodal medical image registration. ...
doi:10.1007/978-3-319-46726-9_2
fatcat:qykk3vd3i5hkvoayhszv6lewsa
A Comparative study of the Image Registration Process on the Multimodal Medical Images
2017
Asia-pacific Journal of Convergent Research Interchange
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In this paper, we perform a comparative study of the image registration process on the multimodal medical images by using different genetic algorithm. ...
Registration of image is the process of overlaying one or more image to a reference image of the same image taken at different time, from different view point or taken from different sensor device. ...
Registration based on the MI is robust and can be used for a large class of images acquired by the same/different sensors. ...
doi:10.21742/apjcri.2017.03.01
fatcat:lkbcs43owbgrjphwggflvi3ad4
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