Medical Image Analysis for the Clinic - A Grand Challenge

The fourth edition of the Grand Challenges in Medical Image Analysis workshop was held on September 24, 2010, in Beijing, China, as part of MICCAI 2010, the 13th International Conference on Medical Image Computing and Computer Assisted Intervention.

Live Contest Results

EMPIRE10

First Prize $400 Feature-constrained Nonlinear Registration of Lung CT Images, Xiao Han pdf

Second Prize $200 Lung CT Image Registration Using Diffeomorphic Transformation Models, Gang Song, Nicholas Tustison, Brian Avants, and James C. Gee pdf

Third Prize Pulmonary Image Registration with elastix using a Standard Intensity-Based Algorithm, Marius Staring, Stefan Klein, Johan H.C. Reiber, Wiro J. Niessen, and Berend C. Stoel pdf

SKI10

First Prize $400 Fully Automatic Segmentation of the Knee Joint using Active Appearance Models, Graham Vincent, Chris Wolstenholme, Ian Scott, and Mike Bowes pdf

Second Prize $200 Model-based Auto-Segmentation of Knee Bones and Cartilage in MRI Data, Heiko Seim, Dagmar Kainmueller, Hans Lamecker, Matthias Bindernagel, Jana Malinowski, and Stefan Zachow pdf

Third Prize Hierarchical Decision Framework with a Priori Shape Models for Knee Joint Cartilage Segmentation - MICCAI Grand Challenge, Yin Yin, Rachel Williams, Donald D. Anderson, and Milan Sonka pdf

Head & Neck Autosegmentation Challenge 2010

First Prize $400 Automatic Segmentation of Parotids in Head and Neck CT Images using Multi-atlas Fusion, Xiao Han, Lyndon S. Hibbard, Nicolette P. O’Connell, and Virgil Willcut pdf

Second Prize $200 Automatic Segmentation of Parotids from CT Scans Using Multiple Atlases, Jinzhong Yang, Yongbin Zhang, Lifei Zhang, and Lei Dong pdf

Third Prize Multi-atlas Based Segmentation: Application to the Head and Neck Region for Radiotherapy Planning, Liliane Ramus and Grégoire Malandain pdf

Check the individual challenge web sites for more details.

Proceedings

Order the proceedings from Amazon.
Or download a pdf file of the entire proceedings here (23 MB).

Pdf files of individual papers can be downloaded below:

EMPIRE10

Evaluation of Methods for Pulmonary Image Registration: The EMPIRE10 Study, Keelin Murphy, Bram van Ginneken, Joseph M. Reinhardt, Sven Kabus, Kai Ding, Xiang Deng, and Josien P.W. Pluim pdf
Lung CT Image Registration Using Diffeomorphic Transformation Models, Gang Song, Nicholas Tustison, Brian Avants, and James C. Gee pdf
Lung registration using the NiftyReg package, Marc Modat, Jamie McClelland and Sébastien Ourselin pdf
Regularized Nonrigid Registration of Lung CT Images by Preserving Tissue Volume and Vesselness Measure, Kunlin Cao, Kaifang Du, Kai Ding, Joseph M. Reinhardt,and Gary E. Christensen pdf
Diffeomorphic Diffusion Registration of Lung CT Images, Alexander Schmidt-Richberg, Jan Ehrhardt, René Werner,and Heinz Handels pdf
Feature-constrained Nonlinear Registration of Lung CT Images, Xiao Han pdf
Pulmonary Image Registration with elastix using a Standard Intensity-Based Algorithm, Marius Staring, Stefan Klein, Johan H.C. Reiber, Wiro J. Niessen, and Berend C. Stoel pdf
Fast Elastic Image Registration, Sven Kabus and Cristian Lorenz pdf
Diffeomorphic demons and the EMPIRE10 challenge, Vincent Garcia, Tom Vercauteren, Grégoire Malandain,and Nicholas Ayache pdf
Evaluation of Plastimatch B-Spline Registration on the EMPIRE10 Data Set, Gregory Sharp, Marta Peroni, Rui Li, James Shackleford,and Nagarajan Kandasamy pdf
3D Lung Registration using splineMIRIT and Robust Tree Registration (RTR), Dirk Loeckx, Dirk Smeets, Johannes Keustermans, Jeroen Hermans, Frederik Maes, Dirk Vandermeulen, and Paul Suetens pdf
Deformable image registration with automated motion-mask extraction, Jef Vandemeulebroucke, Simon Rit, Joël Schaerer, and David Sarrut pdf
Knowledge Driven Regularization of the Deformation Field for PDE Based Non-Rigid Registration Algorithms, Sascha E.A. Muenzing, Bram van Ginneken, and Josien P.W. Pluim pdf
A Robust and Efficient Block-Matching Framework for Non Linear Registration of Thoracic CT Images, Vincent Garcia, Olivier Commowick, and Grégoire Malandain pdf
Non-rigid Registration using Discrete MRFs: Application to Thoracic CTImages, Ben Glocker, Nikos Komodakis, Nikos Paragios, and Nassir Navab pdf
Mass Preserving Image Registration: Results of Evaluation of Methods for Pulmonary Image Registration 2010 Challenge, Vladlena Gorbunova, Jon Sporring, Pechin Lo, Asger Dirksen,and Marleen de Bruijne pdf
Automatic Landmark Detection and Non-linear Landmark- and Surface-based Registration of Lung CT Images, Jan Ehrhardt, René Werner, Alexander Schmidt-Richberg, and Heinz Handels pdf
Deformable Registration of Chest CT Scans with Adaptive Local Mutual Information, Dante De Nigris, D. Louis Collins, and Tal Arbel pdf
Discontinuity preserving regularisation for variational optical-flow registration using the modified Lp norm, Mattias Paul Heinrich, Mark Jenkinson, Sir Michael Brady, and Julia Schnabel pdf
Robust Optical Flow Based Deformable Registration of Thoracic CT Images, Martin Urschler, Manuel Werlberger, Eva Scheurer, and Horst Bischof pdf

SKI10

Segmentation of Knee Images: A Grand Challenge, Tobias Heimann, Bryan J. Morrison, Martin A. Styner, Marc Niethammer, and Simon K. Warfield pdf
Model-based Auto-Segmentation of Knee Bones and Cartilage in MRI Data, Heiko Seim, Dagmar Kainmueller, Hans Lamecker, Matthias Bindernagel, Jana Malinowski, and Stefan Zachow pdf
Fully Automatic Segmentation of the Knee Joint using Active Appearance Models, Graham Vincent, Chris Wolstenholme, Ian Scott, and Mike Bowes pdf
Learning Local Shape and Appearance for Segmentation of Knee Cartilage in 3D MRI, Soochahn Lee, Hackjoon Shim, Sang Hyun Park, Il Dong Yun, and Sang Uk Lee pdf
Hierarchical Decision Framework with a Priori Shape Models for Knee Joint Cartilage Segmentation - MICCAI Grand Challenge, Yin Yin, Rachel Williams, Donald D. Anderson, and Milan Sonka pdf
Fully Automated Segmentation of the Knee using Local Deformation-Model Fitting, Matthias Amberg, Marcel Lüthi, and Thomas Vetter pdf
On Nonparametric Markov Random Field Estimation for Fast Automatic Segmentation of MRI Knee Data, Filip Korc, David Schneider, and Wolfgang Förstner pdf

Head and Neck Auto-segmentation Challenge

Head and Neck Auto-segmentation Challenge: Segmentation of the Parotid Glands, Vladimir Pekar, Stéphane Allaire, Arish A. Qazi, John J. Kim, and David A. Jaffray pdf
Multi-atlas Based Segmentation: Application to the Head and Neck Region for Radiotherapy Planning, Liliane Ramus and Grégoire Malandain pdf
Automatic Segmentation of the Parotid Glands by Situated Bayesian Classification, David Gering and Ben Kalinosky pdf
Automatic Segmentation of Parotids in Head and Neck CT Images using Multi-atlas Fusion, Xiao Han, Lyndon S. Hibbard, Nicolette P. O’Connell, and Virgil Willcut pdf
Segmenting the Parotid Gland using Registration and Level Set Methods, Christian Hollensen, Mads Fogtmann Hansen, Liselotte Hojgaard, Lena Specht, and Rasmus Larsen pdf
Multi-Atlas based Segmentation of Head and Neck CT Images using Active Contour Framework, Subrahmanyam Gorthi, Meritxell Bach Cuadra, Ulrike Schick, Pierre-Alain Tercier, Abdelkarim S. Allal, and Jean-Philippe Thiran pdf
Automatic Segmentation of Parotids from CT Scans Using Multiple Atlases, Jinzhong Yang, Yongbin Zhang, Lifei Zhang, and Lei Dong pdf

Challenges

Three challenges are part of the workshop: registration of chest CT scans, segmentation of the parotid glands on head and neck CT scans and segmentation of cartilage and bone segmentation from knee MRI data. To learn more, follow the links below that will take you to the individual web site of each challenge:

EMPIRE10: Evaluation of Methods for Pulmonary Image Registration 2010
Website: http://empire10.isi.uu.nl/

Head & Neck Auto-segmentation Challenge 2010: Segmentation of the Parotid Glands
Website: http://www.grand-challenge2010.ca/

SKI10: Segmentation of Knee Images 2010
Website: http://www.ski10.org/

Program

08:30 Welcome Address, Bram van Ginneken; Introduction of the Challenges and the Contestants; Announcement of the password for the pre-distributed set of cases for the live contest

Live Contest and Poster Session

08:45 Start of the Live Contest, and simultaneously a Poster Session in the main poster area where all participants present their method. Teams can work on tables in the workshop room, and there will be power strips that accept all types of power supplies.

10:00 Tea/Coffee

10:30 Continuation of the Live Contest and Poster Session

11:45 End of Live Contest, all contestants must now have handed in their results

12:00 Lunch (while the organizers process the results of the contestants)

13:30 Prize Ceremony

EMPIRE10 session

13:40 Results of EMPIRE10, Keelin Murphy.

14:00 Lung CT Image Registration Using Diffeomorphic Transformation Models, Gang Song, Nicholas Tustison, Brian Avants, and James C. Gee

14:20 Lung registration using the NiftyReg package, Marc Modat, Jamie McClelland, and Sébastien Ourselin

14:40 Regularized Nonrigid Registration of Lung CT Images by Preserving Tissue Volume and Vesselness Measure, Kunlin Cao, Kaifang Du, Kai Ding, Joseph M. Reinhardt, and Gary E. Christensen

15:00 Tea/Coffee and continuation of the Poster Session

SKI10 session

15:30 Results of SKI10, Tobias Heimann.

15:50 Model-based Auto-Segmentation of Knee Bones and Cartilage in MRI Data, Heiko Seim, Dagmar Kainmueller, Hans Lamecker, Matthias Bindernagel, Jana Malinowski, and Stefan Zachow

16:10 Fully Automatic Segmentation of the Knee Joint using Active AppearanceModels, Graham Vincent, Chris Wolstenholme, Ian Scott, and Mike Bowes

Head & Neck Challenge Session

16:30 Results of Head & Neck Auto-segmentation Challenge 2010, Vladimir Pekar.

16:50 Multi-atlas Based Segmentation: Application to the Head and Neck Region for Radiotherapy Planning, Liliane Ramus and Grégoire Malandain

17:10 Automatic Segmentation of the Parotid Glands by Situated Bayesian Classification, David Gering and Ben Kalinosky

17:30 End of workshop

MICCAI 2010 Workshop

From Grand Challenges