Congratulations 2013 ISMRM Challenge Finalists!
Final Team Order and Individual Case Rankings
| Team |
Case 1 |
Case 2 |
Case 3 |
Case 4 |
Case 5 |
Case 6 |
Case 7 |
Case 8 |
Case 9 |
Case 10 |
| SRT |
3 |
4 |
1 |
2 |
3 |
1 |
4 |
1 |
2 |
1 |
| DieHeart |
7 |
2 |
3 |
3 |
1 |
2 |
1 |
2 |
1 |
4 |
| TinWoodman |
2 |
3 |
4 |
1 |
4 |
3 |
3 |
3 |
3 |
3 |
| CGIT |
4 |
5 |
5 |
5 |
5 |
4 |
2 |
5 |
6 |
5 |
| FastBeat |
5 |
1 |
2 |
4 |
7 |
5 |
5 |
7 |
5 |
6 |
| KSpaceCadets |
6 |
6 |
7 |
6 |
2 |
7 |
6 |
4 |
4 |
7 |
| KSMATE |
1 |
7 |
6 |
7 |
6 |
6 |
7 |
6 |
7 |
2 |
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Congratulations to
Team SRT (Qiu Wang, Boris Mailhe, Johannes Flake, Mariappan Nadar, Michaela Schmidt, Michael Zenge of Siemens, Corporate Technology) as the 2013 ISMRM Challenge winner!
Acknowledgement
Please join us in thanking the following judges, who graciously reviewed each team's
reconstructed images and provided valuable feedback.
| Name |
Surname |
Degree |
Institution |
| Jeremy |
Collins |
MD |
Northwestern University |
| Christopher |
Francois |
MD |
University of Wisconsin |
| Alex |
Frydrychowicz |
MD |
UKSH Lübeck |
| Alexander |
Gotschy |
MD |
University Hospital Zurich |
| Vikas |
Gulani |
MD |
Case Western Reserve University |
| Holger |
Hetterich |
MD |
Institute of Clinical Radiology, LMU Munich |
| Daniel |
Jeong |
MD |
University of Wisconsin |
| Sebastian |
Kozerke |
PhD |
ETH Zürich |
| Harald |
Kramer |
MD |
University of Munich |
| Debiao |
Li |
PhD |
Cedars-Sinai Medical Center |
| Scott |
Nagle |
MD |
University of Wisconsin |
| Reza |
Nezafat |
PhD |
Harvard |
| Markus |
Niemann |
MD |
ETH/USZ Zürich |
| Dana |
Peters |
PhD |
Yale |
| Scott |
Reeder |
MD |
University of Wisconsin |
| Michael |
Schar |
PhD |
Philips Healthcare and Barrow Neurological Institu |
| Nicole |
Seiberlich |
PhD |
CWRU |
| Bernd |
Wintersperger |
MD |
University of Toronto |
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The 2013 ISMRM Challenge is to engage the MR community to create the most accurate and robust reconstruction algorithm that can be applied to accelerating cardiac dynamic imaging in different views without the need for case-by-case adjustment.
The
aspiration of this Challenge is to develop algorithms with the clear potential to have an
immediate and significant impact on the clinical performance of cardiac imaging.
[ More info... ]
The Challenge in a nutshell:
You register as a team or individual
We provide you with undersampled data from dynamic cardiac MRI cases in different anatomical views
You apply your reconstruction technique to these cases, and submit your results, which will be scored by an automated algorithm
Your score will be updated in the leaderboard so that you can compare with everyone else's scores in an anonymous open fashion
You can advance your leaderboard standing by improving your technique and resubmitting the results
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