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Free-Form Nonrigid Image Registration Using Generalized Elastic Nets
2007
2007 IEEE Conference on Computer Vision and Pattern Recognition
We introduce a novel probabilistic approach for nonparametric nonrigid image registration using generalized elastic nets, a model previously used for topographic maps. ...
The idea of the algorithm is to adapt an elastic net (a constrained Gaussian mixture) in the spatial-intensity space of one image to fit the second image. ...
Image registration with generalized elastic nets
Generalized elastic nets (GEN) The elastic net is a Gaussian mixture with a quadratic prior on its centroids [3, 7, 8] . ...
doi:10.1109/cvpr.2007.382988
dblp:conf/cvpr/MyronenkoSC07
fatcat:5pwr6hewjngsxoytr56feqhwsu
Subject index
1999
IEEE Transactions on Medical Imaging
Rayleigh scattering Splines (mathematics) breast MRI, nonrigid registration using free-form deforms. ...
Lelieveldt,
B.P.F., + , T-MI Mar 99 218-230
Image motion analysis
breast MRI, nonrigid registration using free-form deforms. ...
-based eval. of image-proc. and class. methods. Kwan, R.K.-S., + , T-MI Nov. 1999 ...
doi:10.1109/tmi.1999.819331
fatcat:g7ntb6icpzgs7jwncaguherqne
Optimal grid point selection for improved nonrigid medical image registration
2004
Medical Imaging 2004: Image Processing
Results show that non-rigid registration can by improved by using optimally selected grid points of interest. ...
This generates two corresponding sets of control points for the two images, yielding a sparse deformation field. ...
The optimally placed control net is then used to perform block matching between two images to generate a non-rigid registration. ...
doi:10.1117/12.536828
dblp:conf/miip/FookesM04
fatcat:vyee7q22x5a37mxfgdydv57t3u
Automated 3-dimensional elastic registration of whole-body PET and CT from separate or combined scanners
2005
Journal of Nuclear Medicine
Although a combined PET/CT scanner removes many of these misalignments, breathing-related nonrigid mismatches still persist. ...
Registration and fusion of whole-body functional PET and anatomic CT is significant for accurate differentiation of viable tumors from benign masses, radiotherapy planning and monitoring treatment response ...
Next, using the transformation field, we resample the original PET image (22) to generate a continuous elastically transformed PET image that aligns well with the CT image. ...
pmid:16157532
fatcat:egu43p6xkrgjbm2flykf4xg4wm
A Parallel Nonrigid Registration Algorithm Based on B-Spline for Medical Images
2016
Computational and Mathematical Methods in Medicine
The nonrigid registration algorithm based on B-spline Free-Form Deformation (FFD) plays a key role and is widely applied in medical image processing due to the good flexibility and robustness. ...
To address the issue, a parallel nonrigid registration algorithm based on B-spline is proposed in this paper. ...
B-Spline Free-Form Deformation. ...
doi:10.1155/2016/7419307
pmid:28053653
pmcid:PMC5174751
fatcat:sflsy2pyv5ajlbp4cjtiudtrpi
Three-dimensional average-shape atlas of the honeybee brain and its applications
2005
Journal of Comparative Neurology
After correction for global size and positioning differences by repeatedly applying an intensity-based nonrigid registration algorithm, a sequence of average label images was created. ...
The results were qualitatively evaluated by generating average gray-value images corresponding to the average label images and judging the level of detail within the labeled regions. ...
A method for the iterative generation of average images with nonrigid registration was proposed by Ashburner (2000) . ...
doi:10.1002/cne.20644
pmid:16175557
fatcat:lyk4q5dvnzhjhmx3bsp2656gk4
2014 Index IEEE Transactions on Medical Imaging Vol. 33
2014
IEEE Transactions on Medical Imaging
., +, TMI June 2014 1363-1372
Nonrigid Registration of Volumetric Images Using Ranked Order Statistics.
Tennakoon, R. ...
B., Bab-Hadiashar, A., Cao, Z., and de Bruijne, M., Nonrigid Registration of Volumetric Images Using Ranked Order Statistics; TMI Feb. 2014 422-432 Thibault, J. ...
MRI Upsampling Using Feature-Based Nonlocal Means Approach. Jafari-Khouzani, K., 1969 -1985 Numerical Surrogates for Human Observers in Myocardial Motion Evaluation From SPECT Images. ...
doi:10.1109/tmi.2014.2386278
fatcat:poarfhfto5bm5mhfl7ugwtw4xy
A New Registration Approach for Dynamic Analysis of Calcium Signals in Organs
[article]
2018
arXiv
pre-print
However, pouches in different image frames may exhibit extensive intensity oscillations due to Ca^2+ signaling dynamics, and commonly used multimodal non-rigid registration methods may fail to achieve ...
Evaluated using both synthetic data and real pouch data, our method considerably outperforms the state-of-the-art non-rigid registration methods. ...
We use the free-form deformation (FFD) transformation model, based on B-splines [9] , to find an optimal transformation. ...
arXiv:1802.00491v1
fatcat:viv6bgtmurc3piweh5z7gqzg3a
Evaluation of Optimal Control-Based Deformable Registration Model
[chapter]
2014
Lecture Notes in Electrical Engineering
This model is compared with other four well-known variational-based deformable image registration models: elastic, fluid, diffusion and curvature models. ...
This work focuses on the evaluation of an optimal control-based model for solving the deformable image registration problem which is formulated using GDM. ...
These local transformations form the search space considered in nonrigid or deformable image registration. ...
doi:10.1007/978-3-319-06764-3_15
fatcat:f2gsfmbxtnfibonbacgzzn5fru
A nonrigid registration algorithm for longitudinal breast MR images and the analysis of breast tumor response
2009
Magnetic Resonance Imaging
We also propose a novel method to generate the simulated breast MR images, which can be used to evaluate the proposed registration algorithm quantitatively. ...
The proposed nonrigid registration algorithm is applied to both simulated and real longitudinal 3D high resolution MR images and the obtained transformations are then applied to lower resolution physiological ...
Mutual-Information is commonly used as the similarity measure to compute these transformations. In [32] , Rueckert et al. propose to use a B-spline based free form deformation (FFD). Tanner et al. ...
doi:10.1016/j.mri.2009.05.007
pmid:19525078
pmcid:PMC2763059
fatcat:ghneb5ycyje4dmsboba3rwupk4
Registration of Real-Time 3-D Ultrasound Images of the Heart for Novel 3-D Stress Echocardiography
2004
IEEE Transactions on Medical Imaging
The 3-D spatial registration is mutual information-based. Image registration used in conjunction with 3-D stress echocardiography can potentially improve the diagnostic accuracy of stress testing. ...
Index Terms-Image registration, mutual information, stress echocardiography, three-dimensional ultrasound imaging. ...
used in the study. ...
doi:10.1109/tmi.2004.830527
pmid:15377123
fatcat:42zavzusc5ggvaoib3yg2wkso4
Bayesian Fully Convolutional Networks for Brain Image Registration
2021
Journal of Healthcare Engineering
Nonrigid medical image registration is a key step in medical image processing, such as image comparison, data fusion, target recognition, and pathological change analysis. ...
In this work, a method based on the Bayesian fully convolutional neural network is proposed for nonrigid medical image registration. ...
Nonrigid medical image registration is a key step in medical image processing. ...
doi:10.1155/2021/5528160
pmid:34354807
pmcid:PMC8331272
fatcat:n7xd6dwkmvgqzkn74yzrsagjcm
A training-free recursive multiresolution framework for diffeomorphic deformable image registration
[article]
2022
arXiv
pre-print
Diffeomorphic deformable image registration is one of the crucial tasks in medical image analysis, which aims to find a unique transformation while preserving the topology and invertibility of the transformation ...
Deep convolutional neural networks (CNNs) have yielded well-suited approaches for image registration by learning the transformation priors from a large dataset. ...
There is a strong need for the development of accurate and reliable nonrigid registration algorithms for many medical imaging applications. ...
arXiv:2202.00675v1
fatcat:gumb7gl4ovahvpuda4mvgcvgbm
A Comparative Study for Non-rigid Image Registration and Rigid Image Registration
[article]
2020
arXiv
pre-print
Image registration algorithms can be generally categorized into two groups: non-rigid and rigid. ...
Recently, many deep learning-based algorithms employ a neural net to characterize non-rigid image registration function. However, do they always perform better? ...
Non-rigid image registration Several studies propose pairwise optimization methods for non-rigid image registration within displacement vector fields, including elastic type models, free-form deformations ...
arXiv:2001.03831v1
fatcat:cuw57dkoj5fjhfuedzsac67fh4
A kidney deformation model for use in non-rigid registration during image-guided surgery
2008
Medical Imaging 2008: Visualization, Image-guided Procedures, and Modeling
This system would require a registration of the physical kidney to a pre-operative image volume; however, it is unclear whether a rigid registration would be sufficient. ...
In order to facilitate the removal of tumors during partial nephrectomies, an image-guided surgery system may be useful. ...
in nonrigid registration. ...
doi:10.1117/12.771669
dblp:conf/miigp/OngHMG08
fatcat:n76u3bggxbe4vgm4r4rwyimzbi
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