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Computational Intelligence and Neuroscience
Volume 2015 (2015), Article ID 813696, 16 pages
http://dx.doi.org/10.1155/2015/813696
Research Article

MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI Scans

1Image Sciences Institute, University Medical Center Utrecht, 3584 CX Utrecht, Netherlands
2Philips Healthcare, 5680 DA Best, Netherlands
3Faculty of Biomedical Engineering, Eindhoven University of Technology, 5600 MB Eindhoven, Netherlands
4Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, 3584 CX Utrecht, Netherlands
5Department of Radiology, University Medical Center Utrecht, 3584 CX Utrecht, Netherlands
6BioImaging Laboratory, Bioengineering Department, University of Louisville, Louisville, KY 40292, USA
7Biomedical Imaging Group Rotterdam, Departments of Medical Informatics and Radiology, Erasmus MC, 3015 CN Rotterdam, Netherlands
8Department of Computer Science, University of Copenhagen, 2100 Copenhagen, Denmark
9Image Analysis and Communications Laboratory, Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
10Department of Electronics and Communication Engineering, The LNM Institute of Information Technology, Jaipur 302031, India
11Imaging Laboratories, Robarts Research Institute, London, ON, Canada N6A 5B7
12Department of Medical Biophysics, Western University, London, ON, Canada N6A 3K7
13Signals and Systems, Chalmers University of Technology, 41296 Gothenburg, Sweden
14Applied Physics Laboratory, Johns Hopkins University, Laurel, MD 20723, USA
15Department of Electronics, University of Minho, 4800-058 Guimarães, Portugal
16Department of Computing, Imperial College London, London SW7 2AZ, UK
17Computer Science and Engineering Department, State University of New York at Buffalo, Buffalo, NY 14260-2500, USA
18Center for Medical Imaging Science and Visualization, Linköping University, 58185 Linköping, Sweden
19Department of Radiology and Department of Medical and Health Sciences, Linköping University, 58185 Linköping, Sweden

Received 10 July 2015; Accepted 19 August 2015

Academic Editor: Jussi Tohka

Copyright © 2015 Adriënne M. Mendrik et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [15 citations]

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  • Sérgio Pereira, Adriano Pinto, Jorge Oliveira, Adriënne M. Mendrik, José H. Correia, and Carlos A. Silva, “Automatic brain tissue segmentation in MR images using Random Forests and Conditional Random Fields,” Journal of Neuroscience Methods, vol. 270, pp. 111–123, 2016. View at Publisher · View at Google Scholar
  • Wiro J. Niessen, “MR brain image analysis in dementia: From quantitative imaging biomarkers to ageing brain models and imaging genetics,” Medical Image Analysis, 2016. View at Publisher · View at Google Scholar
  • Toan Duc Bui, Chunsoo Ahn, and Jitae Shin, “Unsupervised segmentation of noisy and inhomogeneous images using global region statistics with non-convex regularization,” Digital Signal Processing, 2016. View at Publisher · View at Google Scholar
  • Richard Beare, Joseph Yuan-Mou Yang, Wirginia J. Maixner, A. Simon Harvey, Michael J. Kean, Vicki A. Anderson, and Marc L. Seal, “Automated alignment of perioperative MRI scans: A technical note and application in pediatric epilepsy surgery,” Human Brain Mapping, 2016. View at Publisher · View at Google Scholar
  • Pim Moeskops, Max A. Viergever, Adrienne M. Mendrik, Linda S. de Vries, Manon J. N. L. Benders, and Ivana Isgum, “Automatic Segmentation of MR Brain Images With a Convolutional Neural Network,” IEEE Transactions on Medical Imaging, vol. 35, no. 5, pp. 1252–1261, 2016. View at Publisher · View at Google Scholar
  • Dana L. Tudorascu, Helmet T. Karim, Jacob M. Maronge, Lea Alhilali, Saeed Fakhran, Howard J. Aizenstein, John Muschelli, and Ciprian M. Crainiceanu, “Reproducibility and Bias in Healthy Brain Segmentation: Comparison of Two Popular Neuroimaging Platforms,” Frontiers in Neuroscience, vol. 10, 2016. View at Publisher · View at Google Scholar
  • Snehashis Roy, John A. Butman, and Dzung L. Pham, “Robust Skull Stripping Using Multiple MR Image Contrasts Insensitive to Pathology,” NeuroImage, 2016. View at Publisher · View at Google Scholar
  • Rutger Heinen, Willem H. Bouvy, Adrienne M. Mendrik, Max A. Viergever, Geert Jan Biessels, and Jeroen de Bresser, “Robustness of Automated Methods for Brain Volume Measurements across Different MRI Field Strengths,” Plos One, vol. 11, no. 10, pp. e0165719, 2016. View at Publisher · View at Google Scholar
  • Noman Naseer, Nauman Khalid Qureshi, Farzan Majeed Noori, and Keum-Shik Hong, “Analysis of Different Classification Techniques for Two-Class Functional Near-Infrared Spectroscopy-Based Brain-Computer Interface,” Computational Intelligence and Neuroscience, vol. 2016, pp. 1–11, 2016. View at Publisher · View at Google Scholar
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  • Roberto Viviani, Eberhard D. Pracht, Daniel Brenner, Petra Beschoner, Julia C. Stingl, and Tony Stöcker, “Multimodal MEMPRAGE, FLAIR, and R2* Segmentation to Resolve Dura and Vessels from Cortical Gray Matter,” Frontiers in Neuroscience, vol. 11, 2017. View at Publisher · View at Google Scholar
  • Jooske Marije Funke Boomsma, Lieza Geertje Exalto, Frederik Barkhof, Esther van den Berg, Jeroen de Bresser, Rutger Heinen, Huiberdina Lena Koek, Niels Daniël Prins, Philip Scheltens, Henry Chanoch Weinstein, Wiesje Maria van der Flier, and Geert Jan Biessels, “Vascular Cognitive Impairment in a Memory Clinic Population: Rationale and Design of the “Utrecht-Amsterdam Clinical Features and Prognosis in Vascular Cognitive Impairment” (TRACE-VCI) Study,” JMIR Research Protocols, vol. 6, no. 4, pp. e60, 2017. View at Publisher · View at Google Scholar
  • Hao Chen, Qi Dou, Lequan Yu, Jing Qin, and Pheng-Ann Heng, “VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images,” NeuroImage, 2017. View at Publisher · View at Google Scholar
  • Aaron Carass, Snehashis Roy, Amod Jog, Jennifer L. Cuzzocreo, Elizabeth Magrath, Adrian Gherman, Julia Button, James Nguyen, Ferran Prados, Carole H. Sudre, Manuel Jorge Cardoso, Niamh Cawley, Olga Ciccarelli, Claudia A.M. Wheeler-Kingshott, Sébastien Ourselin, Laurence Catanese, Hrishikesh Deshpande, Pierre Maurel, Olivier Commowick, Christian Barillot, Xavier Tomas-Fernandez, Simon K. Warfield, Suthirth Vaidya, Abhijith Chunduru, Ramanathan Muthuganapathy, Ganapathy Krishnamurthi, Andrew Jesson, Tal Arbel, Oskar Maier, Heinz Handels, Leonardo O. Iheme, Devrim Unay, Saurabh Jain, Diana M. Sima, Dirk Smeets, Mohsen Ghafoorian, Bram Platel, Ariel Birenbaum, Hayit Greenspan, Pierre-Louis Bazin, Peter A. Calabresi, Ciprian M. Crainiceanu, Lotta M. Ellingsen, Daniel S. Reich, Jerry L. Prince, and Dzung L. Pham, “Longitudinal multiple sclerosis lesion segmentation: resource & challenge,” NeuroImage, 2017. View at Publisher · View at Google Scholar
  • Sergi Valverde, Arnau Oliver, Eloy Roura, Sandra González-Villà, Deborah Pareto, Joan C. Vilanova, Lluís Ramió-Torrentà, Àlex Rovira, and Xavier Lladó, “Automated tissue segmentation of MR brain images in the presence of white matter lesions,” Medical Image Analysis, vol. 35, pp. 446–457, 2017. View at Publisher · View at Google Scholar