Journal ArticleDOI
Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge
Keelin Murphy,B. van Ginneken,Joseph M. Reinhardt,Sven Kabus,Kai Ding,Xiang Deng,Kunlin Cao,Kaifang Du,Gary E. Christensen,V. Garcia,Tom Vercauteren,Nicholas Ayache,Olivier Commowick,Grégoire Malandain,Ben Glocker,Nikos Paragios,Nassir Navab,Vladlena Gorbunova,Jon Sporring,M. de Bruijne,Xiao Han,Mattias P. Heinrich,Julia A. Schnabel,Mark Jenkinson,Cristian Lorenz,Marc Modat,Jamie R. McClelland,Sebastien Ourselin,Sascha E. A. Muenzing,Max A. Viergever,Dante De Nigris,D. L. Collins,Tal Arbel,M. Peroni,Rui Li,Gregory C. Sharp,Alexander Schmidt-Richberg,Jan Ehrhardt,René Werner,Dirk Smeets,Dirk Loeckx,Gang Song,Nicholas J. Tustison,Brian B. Avants,James C. Gee,Marius Staring,Stefan Klein,Berend C. Stoel,Martin Urschler,Manuel Werlberger,Jef Vandemeulebroucke,Simon Rit,David Sarrut,Josien P. W. Pluim +53 more
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TLDR
The organization of the challenge, the data and evaluation methods and the outcome of the initial launch with 20 algorithms, which comprised the comprehensive evaluation and comparison of 20 individual algorithms from leading academic and industrial research groups are detailed.Abstract:
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 intra patient thoracic CT image pairs. Evaluation of nonrigid registration techniques is a nontrivial task. This is compounded by the fact that researchers typically test only on their own data, which varies widely. For this reason, reliable assessment and comparison of different registration algorithms has been virtually impossible in the past. In this work we present the results of the launch phase of EMPIRE10, which comprised the comprehensive evaluation and comparison of 20 individual algorithms from leading academic and industrial research groups. All algorithms are applied to the same set of 30 thoracic CT pairs. Algorithm settings and parameters are chosen by researchers expert in the con figuration of their own method and the evaluation is independent, using the same criteria for all participants. All results are published on the EMPIRE10 website (http://empire10.isi.uu.nl). The challenge remains ongoing and open to new participants. Full results from 24 algorithms have been published at the time of writing. This paper details the organization of the challenge, the data and evaluation methods and the outcome of the initial launch with 20 algorithms. The gain in knowledge and future work are discussed.read more
Citations
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Journal ArticleDOI
Deformable Medical Image Registration: A Survey
TL;DR: This paper attempts to give an overview of deformable registration methods, putting emphasis on the most recent advances in the domain, and provides an extensive account of registration techniques in a systematic manner.
Journal ArticleDOI
Whole-Brain Imaging with Single-Cell Resolution Using Chemical Cocktails and Computational Analysis
Etsuo A. Susaki,Kazuki Tainaka,Kazuki Tainaka,Dimitri Perrin,Fumiaki Kishino,Takehiro Tawara,Tomonobu M. Watanabe,Chihiro Yokoyama,Hirotaka Onoe,Megumi Eguchi,Shun Yamaguchi,Shun Yamaguchi,Takaya Abe,Hiroshi Kiyonari,Yoshihiro Shimizu,Atsushi Miyawaki,Hideo Yokota,Hiroki R. Ueda +17 more
TL;DR: CUBIC enables time-course expression profiling of whole adult brains with single-cell resolution and develops a whole-brain cell-nuclear counterstaining protocol and a computational image analysis pipeline that enable the visualization and quantification of neural activities induced by environmental stimulation.
Journal ArticleDOI
MIND: Modality independent neighbourhood descriptor for multi-modal deformable registration
Mattias P. Heinrich,Mark Jenkinson,Manav Bhushan,Tahreema N. Matin,Fergus V. Gleeson,Sir Michael Brady,Julia A. Schnabel +6 more
TL;DR: A modality independent neighbourhood descriptor (MIND), based on the concept of image self-similarity, which has been introduced for non-local means filtering for image denoising, is proposed and applied for the registration of clinical 3D thoracic CT scans between inhale and exhale as well as the alignment of 3D CT and MRI scans.
Journal ArticleDOI
Gland segmentation in colon histology images: The GlaS challenge contest
Korsuk Sirinukunwattana,Josien P. W. Pluim,Hao Chen,Xiaojuan Qi,Pheng-Ann Heng,Yun Bo Guo,Li Yang Wang,Bogdan J. Matuszewski,Elia Bruni,Urko Sanchez,Anton Böhm,Olaf Ronneberger,Bassem Ben Cheikh,Daniel Racoceanu,Philipp Kainz,Philipp Kainz,Michael Pfeiffer,Martin Urschler,David Snead,Nasir M. Rajpoot +19 more
TL;DR: An overview to the Gland Segmentation in Colon Histology Images Challenge Contest (GlaS) held at MICCAI'2015 is provided, along with the method descriptions and evaluation results from the top performing methods.
Journal ArticleDOI
Evaluation of prostate segmentation algorithms for MRI: the PROMISE12 challenge.
Geert Litjens,Robert Toth,Wendy J. M. van de Ven,Caroline M. A. Hoeks,Sjoerd Kerkstra,Bram van Ginneken,G.R. Vincent,Gwenael Guillard,Neil Birbeck,Jindang Zhang,Robin Strand,Filip Malmberg,Yangming Ou,Christos Davatzikos,Matthias Kirschner,Florian Jung,Jing Yuan,Wu Qiu,Qinquan Gao,Philip J. Edwards,Bianca Maan,Ferdinand van der Heijden,Soumya Ghose,Soumya Ghose,Jhimli Mitra,Jhimli Mitra,Jason Dowling,Dean C. Barratt,Henkjan J. Huisman,Anant Madabhushi +29 more
TL;DR: Although average algorithm performance was good to excellent and the Imorphics algorithm outperformed the second observer on average, it is shown that algorithm combination might lead to further improvement, indicating that optimal performance for prostate segmentation is not yet obtained.
References
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Journal ArticleDOI
Image registration methods: a survey
Barbara Zitová,Jan Flusser +1 more
TL;DR: A review of recent as well as classic image registration methods to provide a comprehensive reference source for the researchers involved in image registration, regardless of particular application areas.
Journal ArticleDOI
A survey of image registration techniques
TL;DR: This paper organizes this material by establishing the relationship between the variations in the images and the type of registration techniques which can most appropriately be applied, and establishing a framework for understanding the merits and relationships between the wide variety of existing techniques.
Journal ArticleDOI
A reproducible evaluation of ANTs similarity metric performance in brain image registration.
TL;DR: This is the first study to use a consistent transformation framework to provide a reproducible evaluation of the isolated effect of the similarity metric on optimal template construction and brain labeling, and to quantify the similarity of templates derived from different subgroups.
Journal ArticleDOI
elastix : A Toolbox for Intensity-Based Medical Image Registration
TL;DR: The software consists of a collection of algorithms that are commonly used to solve medical image registration problems, and allows the user to quickly configure, test, and compare different registration methods for a specific application.
Journal ArticleDOI
A survey of medical image registration.
TL;DR: A survey of recent publications concerning medical image registration techniques is presented, according to a model based on nine salient criteria, the main dichotomy of which is extrinsic versus intrinsic methods.
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