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Validation of Volume-Preserving Non-rigid Registration: Application to Contrast-Enhanced MR-Mammography [chapter]

C. Tanner, J. A. Schnabel, A. Degenhard, A. D. Castellano-Smith, C. Hayes, M. O. Leach, D. R. Hose, D. L. G. Hill, D. J. Hawkes
2002 Lecture Notes in Computer Science  
In this paper, we present a validation study for volume preserving nonrigid registration of 3D contrast-enhanced magnetic resonance mammograms.  ...  The original pre-contrast images were registered to the corresponding BBM-deformed post-contrast images. We assessed the accuracy of two optimisation schemes of a non-rigid registration algorithm.  ...  In [6] we evaluated the volume change associated with non-rigid registration of 15 contrast enhancing breast lesions and found volume shrinkage and expansion of up to 20%.  ... 
doi:10.1007/3-540-45786-0_38 fatcat:7hkgnaoswvf5tjqq45wid33the

Validation of Non-rigid Registration of Contrast-Enhanced MR Mammography Using Finite Element Methods [chapter]

J. A. Schnabel, C. Tanner, A. D. Castellano Smith, A. Degenhard, C. Hayes, M. O. Leach, D. R. Hose, D. L. G. Hill, D. J. Hawkes
2002 Bildverarbeitung für die Medizin 2002  
This paper presents a validation study for non-rigid registration of 3D contrast enhanced magnetic resonance mammography images.  ...  We compare the performance of two non-rigid registration algorithms based on single-and multilevel free-form deformations using B-splines and normalized mutual information.  ...  We have presented a non-rigid registration validation study for CE-MR mammography using finite element methods as a biomechanical gold standard, and have successfully validated two FFD-based non-rigid  ... 
doi:10.1007/978-3-642-55983-9_33 fatcat:bz46wibuovbcrcvm5sth7mcrvu

A review of biomechanically informed breast image registration

John H Hipwell, Vasileios Vavourakis, Lianghao Han, Thomy Mertzanidou, Björn Eiben, David J Hawkes
2016 Physics in Medicine and Biology  
) for dynamic contrast enhanced MR images.  ...  Intensity changes in the dynamic contrast series caused by the contrast agent are likely to be removed by intensity based image registration algorithms and thus constraints such as volume preservation  ... 
doi:10.1088/0031-9155/61/2/r1 pmid:26733349 fatcat:rmwkus6xofdv5faroeih53l26i

Non-rigid image registration: theory and practice

W R Crum, T Hartkens, D L G Hill
2004 British Journal of Radiology  
In this paper we discuss the current state of the art of non-rigid registration to put on-going research in context and to highlight current and future clinical applications that might benefit from this  ...  The current emphasis is on development and validation of application-specific non-rigid techniques, but there is already a plethora of techniques and terminology in use.  ...  Images comprising Figures 2-6 were provided by members of the Computational Imaging Science Group at Guy's Hospital: K Leung, funded by EPSRC and  ... 
doi:10.1259/bjr/25329214 pmid:15677356 fatcat:fgcrow4uzjf27arer4yb2ifyve

A nonrigid registration algorithm for longitudinal breast MR images and the analysis of breast tumor response

Xia Li, Benoit M. Dawant, E. Brian Welch, A. Bapsi Chakravarthy, Darla Freehardt, Ingrid Mayer, Mark Kelley, Ingrid Meszoely, John C. Gore, Thomas E. Yankeelov
2009 Magnetic Resonance Imaging  
Dynamic contrast enhanced MRI (DCE-MRI) can estimate parameters relating to blood flow and tissue volume fractions and therefore may be used to characterize the response of breast tumors to treatment.  ...  We also propose a novel method to generate the simulated breast MR images, which can be used to evaluate the proposed registration algorithm quantitatively.  ...  Acknowledgments We thank the National Institutes of Health for funding through NCI 1R01CA129961, NIBIB 1K25 EB005936, and NCI 1P50 098131 and the Vanderbilt-Ingram Cancer Center Institutional Grant (NIH  ... 
doi:10.1016/j.mri.2009.05.007 pmid:19525078 pmcid:PMC2763059 fatcat:ghneb5ycyje4dmsboba3rwupk4

Nonrigid registration algorithm for longitudinal breast MR images and the preliminary analysis of breast tumor response

Xia Li, Benoit M. Dawant, E. Brian Welch, A. Bapsi Chakravarthy, Darla Freehardt, Ingrid Mayer, Mark Kelley, Ingrid Meszoely, John C. Gore, Thomas E. Yankeelov, Josien P. W. Pluim, Benoit M. Dawant
2009 Medical Imaging 2009: Image Processing  
Dynamic contrast enhanced MRI (DCE-MRI) has emerged as a promising technique to provide relevant information on tumor status.  ...  In this study, a nonrigid registration algorithm is proposed to allow for longitudinal registration of breast MR images obtained throughout the course of treatment.  ...  REFERENCES [1] Rueckert D, Sonoda LI, Hayes C, Hill DLJ, Leach MO, Hawkes DJ., "Non-rigid registration using free-form deformations: Application to breast MR images," IEEE Trans Med Imag, 18, 712-721 (  ... 
doi:10.1117/12.811216 dblp:conf/miip/LiDWCFMKMGY09 fatcat:ubzdigymhrcphb75fspkebbm2e

MRI to X-ray mammography intensity-based registration with simultaneous optimisation of pose and biomechanical transformation parameters

Thomy Mertzanidou, John Hipwell, Stian Johnsen, Lianghao Han, Bjoern Eiben, Zeike Taylor, Sebastien Ourselin, Henkjan Huisman, Ritse Mann, Ulrich Bick, Nico Karssemeijer, David Hawkes
2014 Medical Image Analysis  
The transformation model has seven degrees of freedom, which include parameters for both the initial rigid-body pose of the breast prior to mammographic compression, and those of the biomechanical model  ...  In this work we propose an intensity-based image registration framework, where the biomechanical transformation model parameters and the rigid-body transformation parameters are optimised simultaneously  ...  The authors would like to thank the Radboud University Nijmegen Medical Centre for the MRI and X-ray mammography data with annotations and the Charite Universitätsmedizin Berlin for the clip cases used  ... 
doi:10.1016/j.media.2014.03.003 pmid:24727358 fatcat:k4ggoaxpyja47htqgrc44v34bm

Current trends in medical image registration and fusion

Fatma El-Zahraa Ahmed El-Gamal, Mohammed Elmogy, Ahmed Atwan
2016 Egyptian Informatics Journal  
Therefore, the aim of this paper is to focus on medical image registration as well as medical image fusion.  ...  The paper also illustrates most well-known toolkits that have been developed to help the working with the registration and fusion processes.  ...  Nowadays, most of the registration works comprise the proposition of non-rigid registration techniques in many applications ranging from modeling, tissue deformations to anatomical structures' variability  ... 
doi:10.1016/j.eij.2015.09.002 fatcat:fa26tt2oz5dwdc6hnfwc2avifi

Deformable Medical Image Registration: A Survey

A. Sotiras, C. Davatzikos, N. Paragios
2013 IEEE Transactions on Medical Imaging  
The contribution of this paper is to provide an extensive account of registration techniques in a systematic manner.  ...  In this paper, we attempt to give an overview of deformable registration methods, putting emphasis on the most recent advances in the domain.  ...  Rohlng et al. employed a volume preserving strategy to register contrast-enhanced MR breast images [234] .  ... 
doi:10.1109/tmi.2013.2265603 pmid:23739795 pmcid:PMC3745275 fatcat:svbac4wihzhylmlntlodzrmple

Numerical Methods for Coupled Reconstruction and Registration in Digital Breast Tomosynthesis [article]

Guang Yang, John H. Hipwell, David J. Hawkes, Simon R. Arridge
2013 arXiv   pre-print
Also, we incorporate a non-rigid B-spline transformation model into our simultaneous method.  ...  The results demonstrate a visually plausible recovery of the deformation with preservation of the reconstruction fidelity.  ...  such a non-rigid breast deformation.  ... 
arXiv:1307.6008v1 fatcat:bimrziqoevc2pkoqnn3s4ksqcq

Computerized method for nonrigid MR-to-PET breast-image registration

M.Z. Unlu, A. Krol, A. Magri, J.A. Mandel, W. Lee, K.G. Baum, E.D. Lipson, I.L. Coman, D.H. Feiglin
2010 Computers in Biology and Medicine  
method (FEM) approach to MR-to-PET nonrigid breast-image registration.  ...  This method can be easily applied to nonrigid registration of MRI or CT of any type of soft-tissue images to their molecular counterparts such as obtained using PET and SPECT.  ...  Unlu was supported by a grant from Turkish Ministry of National Education and by Syracuse University. We would like to express our gratitude to Ms.  ... 
doi:10.1016/j.compbiomed.2009.10.010 pmid:19942214 fatcat:7wm7nihynra6rpaj4i4r3637he

Medical Image Registration Using Deep Neural Networks: A Comprehensive Review [article]

Hamid Reza Boveiri, Raouf Khayami, Reza Javidan, Ali Reza MehdiZadeh
2020 arXiv   pre-print
to challenge with many medical applications, where the registration is not an exception.  ...  Image-guided interventions are saving the lives of a large number of patients where the image registration problem should indeed be considered as the most complex and complicated issue to be tackled.  ...  Fujita, "Learning 3D non-rigid deformation based on an unsupervised deep learning for PET/CT image registration," in Medical Imaging 2019: Biomedical Applications in Molecular, Structural, and Functional  ... 
arXiv:2002.03401v1 fatcat:u4utrifr2rg3bf6x6fgohyfmpy

Grid powered nonlinear image registration with locally adaptive regularization

R STEFANESCU
2004 Medical Image Analysis  
Multi-subject non-rigid registration algorithms using dense deformation fields often encounter cases where the transformation to be estimated has a large spatial variability.  ...  The registration time for images of size 256 × 256 × 124 is 5 minutes on 15 standard PCs.  ...  Validation is a particularly difficult problem in multi-subject non-rigid registration.  ... 
doi:10.1016/j.media.2004.06.010 pmid:15450226 fatcat:jf6gxvrmgvfkhhvo55ots4pjje

Front Matter: Volume 10133

Proceedings of SPIE, Martin A. Styner, Elsa D. Angelini
2017 Medical Imaging 2017: Image Processing  
of non-rigid registration parameters for atlas-based segmentation of CT images of human cochlea [10133-35] 10133 10 ACIR: automatic cochlea image registration [10133-36] 10133 11 Whole-body diffusion-weighted  ...  10133 1J Image enhancement in positron emission mammography [10133-55] 10133 1K Scatter correction by non-local techniques [10133-56] 10133 1L Resolution enhancement for x-ray images [10133-57  ... 
doi:10.1117/12.2270368 dblp:conf/miip/X17 fatcat:resfpzholvbtbalfkbg3pj64gu

2014 Index IEEE Transactions on Medical Imaging Vol. 33

2014 IEEE Transactions on Medical Imaging  
Classification of Dynamic Contrast Enhanced MR Images of Cervical Cancers Using Texture Analysis and Support Vector Machines.  ...  ., +, TMI June 2014 1390-1400 Classification of Dynamic Contrast Enhanced MR Images of Cervical Cancers Using Texture Analysis and Support Vector Machines.  ... 
doi:10.1109/tmi.2014.2386278 fatcat:poarfhfto5bm5mhfl7ugwtw4xy
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