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Simultaneous Registration and Segmentation of Anatomical Structures from Brain MRI
[chapter]
2005
Lecture Notes in Computer Science
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Our work is a departure from earlier methods in that we have a unified variational principle wherein non-rigid registration and segmentation are simultaneously achieved; unlike previous methods of solution ...
for this problem, our algorithm can accommodate for image pairs having very distinct intensity distributions. ...
., present a variational principle for achieving simultaneous registration and segmentation, however, the registration part is limited to rigid motions. ...
doi:10.1007/11566465_3
fatcat:lvfhn3tsqbh7xhy2iqxurpwauu
Joint Registration and Segmentation of Neuroanatomic Structures From Brain MRI
2006
Academic Radiology
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Results-We present several examples (20) on synthetic and Conclusion- The proposed atlas-based segmentation technique is capable of simultaneously achieve the nonrigid registration and the segmentation ...
Our work is a departure from earlier methods in that we can simultaneously register and segment in three dimensions and easily cope with situations where the source (atlas) and target images have very ...
Leonard of the University of Florida Neuroscience Department for the hippocampal data sets. ...
doi:10.1016/j.acra.2006.05.017
pmid:16935722
pmcid:PMC2921911
fatcat:p24pwmovvjaa5lvlkqe7mkiyiu
A Multi-image Graph Cut Approach for Cardiac Image Segmentation and Uncertainty Estimation
[chapter]
2012
Lecture Notes in Computer Science
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We also define the registration and segmentation uncertainty and explore its use for diagnostic purposes. Our framework uses cardiac MR image sequences that are widely available in clinical practice. ...
We also show that registration and segmentation uncertainties are good indicators for segmentation failures as well as good predictors for the functional abnormality of the subject. ...
Introduction Magnetic Resonance (MR) imaging can be used to visualize the anatomy and function of the heart in detail. ...
doi:10.1007/978-3-642-28326-0_18
fatcat:lu2szbi5ozg7nlsmjx562b24vi
A variational framework for integrating segmentation and registration through active contours
2003
Medical Image Analysis
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In this paper, we introduce a geometric, variational framework that uses active contours to simultaneously segment and register features from multiple images. ...
Traditionally, segmentation and registration have been solved as two independent problems, even though it is often the case that the solution to one impacts the solution to the other. ...
Fig. 11 . 11 CT and MR image slices used as input for the registration validation experiments. ...
doi:10.1016/s1361-8415(03)00004-5
pmid:12868620
fatcat:ul4u44mqkvg6fnijq7fpnldbua
A multimodal approach to image-derived input functions for brain PET
2009
2009 IEEE Nuclear Science Symposium Conference Record (NSS/MIC)
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Many methods have been proposed for generating an image-derived input function (IDIF) exclusively from PET images. ...
Segmentation of both the left and right carotid arteries was performed in MR images using a 3D level sets method. ...
ACKNOWLEDGMENTS We thank Zhongdong Sun for programming support and the staff of the Yale PET Center for the studies which formed the basis of this work. ...
doi:10.1109/nssmic.2009.5401977
pmid:20607124
pmcid:PMC2895272
fatcat:nalnkyi2nrdlrmbzkdz2f7sc74
Simultaneous Intensity Inhomogensity Correction, Registration and Segmentation of Anatomical Structures From Brain MR Images
2013
International Journal of Signal Processing, Image Processing and Pattern Recognition
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This paper presents a novel variational framework for the registration, segmentation and bias estimation simultaneously. ...
Accurate segmentation for magnetic resonance (MR) images is an essential step in quantitative brain image analysis, and hence has attracted extensive research attention. ...
Acknowledgements This paper is a revised and expanded version of a paper entitled "An automatical segmentation method for brain MR images" presented at CST 2016 China, April 22-23. ...
doi:10.14257/ijsip.2016.9.5.32
fatcat:6empbl2qdjawpca746wxgpjhp4
A unified framework for joint segmentation, nonrigid registration and tumor detection: application to MR-guided radiotherapy
2011
Information processing in medical imaging : proceedings of the ... conference
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We demonstrate the approach on a set of 30 T2-weighted MR images, and the results show that the approach performs better than similar methods which separate the registration and segmentation problems. ...
In this paper, we present a unified MAP framework that performs automatic segmentation, nonrigid registration and tumor detection simultaneously. ...
Conclusion In this paper, a unified framework for simultaneous segmentation, nonrigid registration and tumor detection had been presented. ...
pmid:21761683
pmcid:PMC3889153
fatcat:2xvvukdw6vehbjigc6535ph2gq
Bayes Clustering and Structural Support Vector Machines for Segmentation of Carotid Artery Plaques in Multicontrast MRI
2012
Computational and Mathematical Methods in Medicine
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Accurate segmentation of carotid artery plaque in MR images is not only a key part but also an essential step for in vivo plaque analysis. ...
Due to the indistinct MR images, it is very difficult to implement the automatic segmentation. ...
Then through minimizing the energy function using a gradient flow, we can achieve the goal of simultaneous segmentation and registration [12] . ...
doi:10.1155/2012/549102
pmid:23365619
pmcid:PMC3536030
fatcat:mlnao2bx55d6tky4g53bv5qs7q
MvMM-RegNet: A new image registration framework based on multivariate mixture model and neural network estimation
[article]
2020
arXiv
pre-print
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The results show that the proposed framework achieved an average Dice score of 0.871± 0.025 for whole-heart segmentation on MR images and 0.783± 0.082 for myocardium segmentation on LGE MR images. ...
We highlight the versatility of the proposed framework for various applications on multimodal cardiac images, including single-atlas-based segmentation (SAS) via pairwise registration and multi-atlas segmentation ...
Meanwhile, in the literature several studies have suggested coupling registration with segmentation, in which image registration and tissue classification are performed simultaneously within the same model ...
arXiv:2006.15573v2
fatcat:q5lqfvqcendurp46eii5n42lby
Multimodal Image Registration Through Simultaneous Segmentation
2017
IEEE Signal Processing Letters
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In this work, we introduce a new non-information-theoretical method for pairwise multimodal image registration, in which the error of segmentation -using both images -is considered as the registration ...
Most existing methods require computation of the joint histogram of the images, while some perform joint segmentation and registration in alternate iterations. ...
), the National Institute for Biomedical Imaging and Bioengineering (P41EB015896, R01EB006758, R21EB018907, R01EB019956), the National Institute on Aging (AG022381, 5R01AG008122-22, R01AG016495-11, R01AG016495 ...
doi:10.1109/lsp.2017.2754263
pmid:29151777
pmcid:PMC5690540
fatcat:kayy54jngng3dgx4czk7b2543a
Segmentation of Cardiac Structures Simultaneously from Short- and Long-Axis MR Images
[chapter]
2004
Lecture Notes in Computer Science
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We introduce a framework for the automatic segmentation of the ventricles, atria, and epicardium simultaneously from cardiac magnetic resonance (MR) volumes. ...
The results presented in this paper prove that by using both the SA and LA MR volumes the ventricles and atria can be simultaneously segmented from cardiac MR volumes with a good accuracy. ...
Research was supported by Tekes, the National Technology Agency, Finland, the Finnish Cultural Foundation, and the Foundation for Advancement of Technical Sciences, Finland. ...
doi:10.1007/978-3-540-30135-6_52
fatcat:ulkrjq3zfzeajiwlembscdpqgu
Simultaneous Registration and Segmentation by L1 Minimization
[chapter]
2012
Lecture Notes in Computer Science
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This paper studies the problem of simultaneously registering and segmenting a pair of images despite the presence of non-smooth boundaries. ...
We extend the two image formulation to multiple image registration and segmentation by introducing a low rank prior on the error matrix. ...
Each pair of image shows the original frame and the bone removed frame. The two pairs in boxes are manually generated. The last two images show the MIP projection before and after bone removal. ...
doi:10.1007/978-3-642-35428-1_16
fatcat:2ftrzmieqbb6zjn5fgpoysc2eq
Fieldmap-Free Retrospective Registration and Distortion Correction for EPI-Based Functional Imaging
[chapter]
2008
Lecture Notes in Computer Science
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We describe a method for correcting the distortions present in echo planar images (EPI) and registering the EPI to structural MRI. ...
Shim and other missing parameters are estimated by registration. ...
This research is supported in part by U54-EB-005149, U41RR019703-01A2, P41 RR13218, EEC 9731748, and T32 EB001680-05. The authors would like to thank Gary Glover for helpful discussions of this topic. ...
doi:10.1007/978-3-540-85990-1_33
fatcat:xts3be722vccrkhwj7awj33vqm
An Evaluation of the Benefits of Simultaneous Acquisition on PET/MR Coregistration in Head/Neck Imaging
2017
Journal of Healthcare Engineering
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Moreover, simultaneous PET/MR offers unique datasets serving as ground truth for the improvement and validation of coregistration algorithms, if acquired with PET/CT. ...
Coregistration of multimodal diagnostic images is crucial for qualitative and quantitative multiparametric analysis. ...
Acknowledgments This work was partially supported by the RRC-2015-2360454 of the Italian Minister of Health and by the Italian project PON03PE_00128_1 "eHealthNet: Software ecosystem for Electronic Health ...
doi:10.1155/2017/2634389
pmid:29076331
fatcat:lwantfjiifajzgimbyelwuceiq
Multi-structure whole brain registration and population average
2009
2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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segmentation information from multiple cortical and subcortical structures, represented as volumetric images, with given T1-weighted MR image for registration. ...
We present here a novel method for whole brain magnetic resonance (MR) image registration that explicitly penalizes the mismatch of cortical and subcortical regions by simultaneously utilizing anatomic ...
Each brain MR image A M R is represented as a function A : Ω → R, where Ω ⊆ R 3 is the domain of the 3D MR image. ...
doi:10.1109/iembs.2009.5335196
pmid:19965245
fatcat:fbwhxfn5tvgsvbdreqe2k7cq4e
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