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Simultaneous Registration and Segmentation of Anatomical Structures from Brain MRI [chapter]

Fei Wang, Baba C. Vemuri
2005 Lecture Notes in Computer Science  
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

Fei Wang, Baba C. Vemuri, Stephan J. Eisenschenk
2006 Academic Radiology  
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]

Wenzhe Shi, Xiahai Zhuang, Robin Wolz, Duckett Simon, KaiPin Tung, Haiyan Wang, Sebastien Ourselin, Philip Edwards, Reza Razavi, Daniel Rueckert
2012 Lecture Notes in Computer Science  
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

A. Yezzi, L. Zöllei, T. Kapur
2003 Medical Image Analysis  
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

E.K. Fung, B. Planeta-Wilson, T. Mulnix, R.E. Carson
2009 2009 IEEE Nuclear Science Symposium Conference Record (NSS/MIC)  
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

Yunjie Chen, Qin Xu, Yuhui Zheng, Jin Wang, Jeong-Uk Kim
2013 International Journal of Signal Processing, Image Processing and Pattern Recognition  
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

Chao Lu, Sudhakar Chelikani, James S Duncan
2011 Information processing in medical imaging : proceedings of the ... conference  
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

Qiu Guan, Bin Du, Zhongzhao Teng, Jonathan Gillard, Shengyong Chen
2012 Computational and Mathematical Methods in Medicine  
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]

Xinzhe Luo, Xiahai Zhuang
2020 arXiv   pre-print
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

Iman Aganj, Bruce Fischl
2017 IEEE Signal Processing Letters  
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]

Juha Koikkalainen, Mika Pollari, Jyrki Lötjönen, Sari Kivistö, Kirsi Lauerma
2004 Lecture Notes in Computer Science  
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]

Pratik Shah, Mithun Das Gupta
2012 Lecture Notes in Computer Science  
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]

Clare Poynton, Mark Jenkinson, Stephen Whalen, Alexandra J. Golby, William Wells
2008 Lecture Notes in Computer Science  
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

Serena Monti, Carlo Cavaliere, Mario Covello, Emanuele Nicolai, Marco Salvatore, Marco Aiello
2017 Journal of Healthcare Engineering  
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

A.R. Khan, M.F. Beg
2009 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society  
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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