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Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge

K. Murphy, B. van Ginneken, J. M. Reinhardt, S. Kabus, Kai Ding, Xiang Deng, Kunlin Cao, Kaifang Du, G. E. Christensen, V. Garcia, T. Vercauteren, N. Ayache (+42 others)
2011 IEEE Transactions on Medical Imaging  
All algorithms are applied to the same set of 30 thoracic CT pairs.  ...  EMPIRE10 (Evaluation of Methods for Pulmonary Image REgistration 2010) is a public platform for fair and meaningful comparison of registration algorithms which are applied to a database of intrapatient  ...  ACKNOWLEDGMENT The authors would like to thank the following people for their assistance in various aspects of organizing the EMPIRE10  ... 
doi:10.1109/tmi.2011.2158349 pmid:21632295 fatcat:whsk66ukszc37f3fe6uzl6mkwu

CNN-based Lung CT Registration with Multiple Anatomical Constraints [article]

Alessa Hering, Stephanie Häger, Jan Moltz, Nikolas Lessmann, Stefan Heldmann, Bram van Ginneken
2021 arXiv   pre-print
We show that it achieves state-of-the-art results on the COPDGene dataset compared to conventional registration method with much shorter execution time.  ...  We perform an extensive evaluation to assess the accuracy, the robustness, the plausibility of the estimated deformation fields, and the transferability of our registration approach.  ...  We gratefully acknowledge the support of the NVIDIA Corporation with their GPU donations for this research.  ... 
arXiv:2011.14372v2 fatcat:xlii4n3xjfbxdeedkfu7tndii4

Effect of deformable registration on the dose calculated in radiation therapy planning CT scans of lung cancer patients a)

Alexandra R. Cunliffe, Clay Contee, Samuel G. Armato, Bradley White, Julia Justusson, Renuka Malik, Hania A. Al-Hallaq
2014 Medical Physics (Lancaster)  
Purpose: To characterize the effects of deformable image registration of serial computed tomography (CT) scans on the radiation dose calculated from a treatment planning scan.  ...  This model provides a measurement of the uncertainty in the radiation dose when points are mapped between serial CT scans through deformable registration.  ...  F. 4 . 4 using the Fraunhofer MEVIS Fast and EMPIRE10 T III. Average values of d E , ∆D, and |∆D| across patients for each of the three registration methods.  ... 
doi:10.1118/1.4903267 pmid:25563279 pmcid:PMC4282677 fatcat:c6zbuycbardkzeayvsrxacmtmu

Improving Intensity-Based Lung CT Registration Accuracy Utilizing Vascular Information

Kunlin Cao, Kai Ding, Joseph M. Reinhardt, Gary E. Christensen
2012 International Journal of Biomedical Imaging  
The average matching error for intensity-only registration methods was on the order of 1 mm at landmarks and 1.5 mm on fissure planes.  ...  Accurate pulmonary image registration is a challenging problem when the lungs have a deformation with large distance.  ...  Acknowledgments The authors would like to thank Dr. K. Murphy and Dr. B. van Ginneken for providing the software iX for generating and annotating landmarks. This work was supported by Grant nos.  ... 
doi:10.1155/2012/285136 pmid:23251141 pmcid:PMC3515912 fatcat:7vflgq3onncxxk56jal7hhzr5q

Evaluation of Six Registration Methods for the Human Abdomen on Clinically Acquired CT

Zhoubing Xu, Christopher P. Lee, Mattias P. Heinrich, Marc Modat, Daniel Rueckert, Sebastien Ourselin, Richard G. Abramson, Bennett A. Landman
2016 IEEE Transactions on Biomedical Engineering  
Methods: Thirteen abdominal organs were manually labeled on a set of 100 CT images, and the 100 labeled images (i.e., atlases) were pairwise registered based on intensity information with six registration  ...  Objective: This work evaluates current 3-D image registration tools on clinically acquired abdominal computed tomography (CT) scans.  ...  [6] compared 20 registration algorithms to 30 thoracic CT pairs in the EMPIRE10 challenge by metrics specified for pulmonary area alignment and correspondence.  ... 
doi:10.1109/tbme.2016.2574816 pmid:27254856 pmcid:PMC4972188 fatcat:sdke7esz65fvrelyvzlizqbkoa

Segmentation of parotid glands from registered CT and MR images

Domen Močnik, Bulat Ibragimov, Lei Xing, Primož Strojan, Boštjan Likar, Franjo Pernuš, Tomaž Vrtovec
2018 Physica medica (Testo stampato)  
Methods-Magnetic resonance images of head and neck were registered to the accompanying CT images using two different state-of-the-art registration procedures.  ...  The reference domains of registered image pairs were divided on the complementary PG regions and backgrounds according to the manual delineation of PGs on CT images, provided by a physician.  ...  challenge [37] for registration of intrapatient thoracic CT image pairs.  ... 
doi:10.1016/j.ejmp.2018.06.012 pmid:30139607 pmcid:PMC6110103 fatcat:xa2wwjrtqjaw3mq76ak7fa5joa

Evaluation of advanced Lukas–Kanade optical flow on thoracic 4D-CT

Christoph Bernhard Hoog Antink, Tarunraj Singh, Puneet Singla, Matthew Podgorsak
2013 Journal of clinical monitoring and computing  
The proposed algorithm is tested and validated on benchmark datasets for deformable image registration.  ...  The focus of this work is on the development of a robust local optical flow algorithm for velocity field estimation in medical applications.  ...  Acknowledgements The authors would like to acknowledge the help of Richard Castillo, MS who processed the result of our algorithm and assessed its performance.  ... 
doi:10.1007/s10877-013-9454-5 pmid:23549645 fatcat:62z3f6rfnjd4bkizbz256qjchu

Numerical Methods for Pulmonary Image Registration [article]

Roberto Cavoretto, Alessandra De Rossi, Roberta Freda, Hanli Qiao, Ezio Venturino
2017 arXiv   pre-print
In this chapter, we provide a survey which focuses on the role of image registration in educational training together with the state-of-the-art of pulmonary image registration.  ...  In this chapter, we focus on image registration of a specific human organ, i.e. the lung, which is prone to be lesioned.  ...  EMPIRE10 The popular and public platform EMPIRE10 (Evaluation of Methods for Pulmonary Image REgistration 2010) challenge is able to evaluate the state-of-the-art in lung CT image registration.  ... 
arXiv:1705.06147v1 fatcat:iefcialiujdc3lvp7prgmsnl3q

Evaluation of Scan-Line Optimization for 3D Medical Image Registration

Simon Hermann
2014 2014 IEEE Conference on Computer Vision and Pattern Recognition  
SGM-3D is evaluated in context of pulmonary motion analysis on the recently extended DIR-lab benchmark that provides ten 4D computed tomography (CT) image data sets, as well as ten challenging 3D CT scan  ...  Results show that both registration errors as well as run-time performance are very competitive with current state-of-the-art methods. 1 published within the last 12 months 2 http://www.cvlibs.net/datasets  ...  René Werner for introducing me to the exciting field of 3D medical image registration.  ... 
doi:10.1109/cvpr.2014.393 dblp:conf/cvpr/Hermann14 fatcat:pvd2zhietneovja3kbhos5ojym

Accuracy of registration algorithms in subtraction CT of the lungs: a digital phantom study

D. Grob, L. Oostveen, J. Rühaak, S. Heldmann, B. Mohr, K. Michielsen, S. Dorn, M. Prokop, M. Kachelrieβ, M. Brink, I. Sechopoulos
2019 Medical Physics (Lancaster)  
on the registration were also investigated.  ...  The impact of all other evaluated conditions on the residual error varied, resulting in an increase in the median residual error lower than 0.1 mm for all algorithms, except in the case of whole body displacements  ...  Some registration algorithms have been evaluated in challenges such as the EMPIRE10 image registration challenge 9 with resulting accuracies of the landmarks for the top ten algorithms between 0.63 and  ... 
doi:10.1002/mp.13496 fatcat:td7s335ygjdollza4qosyzk24m

Deformable registration of the inflated and deflated lung in cone-beam CT-guided thoracic surgery: Initial investigation of a combined model- and image-driven approach

Ali Uneri, Sajendra Nithiananthan, Sebastian Schafer, Yoshito Otake, J. Webster Stayman, Gerhard Kleinszig, Marc S. Sussman, Jerry L. Prince, Jeffrey H. Siewerdsen
2012 Medical Physics (Lancaster)  
), the authors propose the use of intraoperative cone-beam CT (CBCT) and deformable image registration to guide targeting of small tumors in video-assisted thoracic surgery (VATS).  ...  Conclusions: The initial studies show the proposed registration method to successfully register CBCT images of the inflated and deflated lung.  ...  The authors extend sincere thanks to Dr. Rainer Graumann and Dr. Christian Schmidgunst (Siemens XP) for valuable discussions on the C-arm prototype and CBCT imaging performance.  ... 
doi:10.1118/1.4767757 pmid:23298134 pmcid:PMC3537709 fatcat:fdc3mtgtejgi3gvfkbfein4eli

A survey of medical image registration – under review

Max A. Viergever, J.B. Antoine Maintz, Stefan Klein, Keelin Murphy, Marius Staring, Josien P.W. Pluim
2016 Medical Image Analysis  
A retrospective view on the past two decades of the field of medical image registration is presented, guided by the article "A survey of medical image registration" (Maintz and Viergever, 1998) .  ...  Two problems that were called urgent already 20 years ago, are even more urgent nowadays: Validation of registration methods, and translation of results of image registration research to clinical practice  ...  EMPIRE10 was launched as an evaluation challenge in conjunction with MICCAI 2010.  ... 
doi:10.1016/j.media.2016.06.030 pmid:27427472 fatcat:chq36gh6rjfn3jtddgf5tdvytq

Toward adaptive radiotherapy for lung patients: feasibility study on deforming planning CT to CBCT to assess the impact of anatomical changes on dosimetry

A J Cole, C Veiga, U Johnson, D D'Souza, N K Lalli, J R McClelland
2018 Physics in Medicine and Biology  
The proposed method uses deformable image registration (DIR) to flexibly map planning CT (pCT) data to the anatomy of online CBCT images.  ...  The settings of an in-house, open-source DIR algorithm were first optimised for CT-to-CBCT registrations of the anatomy of the thorax.  ...  CV acknowledges the support of Fundação para a Ciência e a Tecnologia (FCT) grant SFRH/BD/76169/2011, co-financed by FSE, POPH/QREN and EU.  ... 
doi:10.1088/1361-6560/aad1bb pmid:29978832 pmcid:PMC6329444 fatcat:izkgd4u2szhflga267sdivlss4

Evaluation of body-wise and organ-wise registrations for abdominal organs

Zhoubing Xu, Sahil A. Panjwani, Christopher P. Lee, Ryan P. Burke, Rebeccah B. Baucom, Benjamin K. Poulose, Richard G. Abramson, Bennett A. Landman, Martin A. Styner, Elsa D. Angelini
2016 Medical Imaging 2016: Image Processing  
The current standard registration method uses the global or body-wise registration technique, which is based on the global topology for alignment.  ...  This paper compares exclusively the two registration methods by providing novel quantitative and qualitative comparison data and is a subset of the more comprehensive problem of improving the multi-atlas  ...  Murphy et al. compared 20 registration algorithms on 30 thoracic CT pairs in the EMPIRE10 challenge [2] .  ... 
doi:10.1117/12.2217082 pmid:27127329 pmcid:PMC4845963 dblp:conf/miip/XuPLBBPAL16 fatcat:53vidl7dgbhuxfdk7lu4wrl32u

Deformable image registration applied to lung SBRT: Usefulness and limitations

David Sarrut, Thomas Baudier, Myriam Ayadi, Ronan Tanguy, Simon Rit
2017 Physica medica (Testo stampato)  
Deformable Image Registration (DIR) is the fundamental method to quantify deformations for various applications: motion compensation, contour propagation, dose accumulation, etc.  ...  Radiation therapy (RT) of the lung requires deformation analysis.  ...  For example, the EMPIRE10 2 challenge [5] compared more than 40 algorithms with a database of 30 pairs of thoracic CT images: the first 10 methods depicted TRE lower than 0.9 mm.  ... 
doi:10.1016/j.ejmp.2017.09.121 pmid:28947188 fatcat:kslsgk2wc5cf3jnut7jj3dxqq4
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