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Left Atrial Segmentation Challenge 2013: MRI results

Version 3 2015-08-06, 00:07
Version 2 2015-08-06, 00:07
Version 1 2015-08-05, 23:17
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posted on 2015-08-06, 00:07 authored by Catalina Tobon-GomezCatalina Tobon-Gomez, Arjan J. GeersArjan J. Geers, Jochen Peters, Jürgen Weese, Karen Pinto, Rashed Karim, Mohammed Ammar, Abdelaziz Daoudi, Jan Margeta, Zulma Sandoval, Birgit Stender, Yefeng Zheng, Maria A. Zuluaga, Julian Betancur, Nicholas Ayache, Mohammed Amine Chikh, Jean-Louis Dillenseger, B. Michael Kelm, Saïd Mahmoudi, Sébastien Ourselin, Alexander Schlaefer, Tobias Schaeffter, Reza Razavi, Kawal S. Rhode

This fileset is associated with the Left Atrial Segmentation Challenge 2013 (LASC'13). LASC'13 was part of the STACOM'13 workshop, held in conjunction with MICCAI'13. Seven international research groups, comprising 11 algorithms, participated in the challenge.

For a detailed report, please refer to:

Tobon-Gomez C, Geers AJ, Peters, J, Weese J, Pinto K, Karim R, Ammar M, Daoudi A, Margeta J, Sandoval Z, Stender B, Zheng Y, Zuluaga, MA, Betancur J, Ayache N, Chikh MA, Dillenseger J-L, Kelm BM, Mahmoudi S, Ourselin S, Schlaefer A, Schaeffter T, Razavi R, Rhode KS. Benchmark for Algorithms Segmenting the Left Atrium From 3D CT and MRI Datasets. IEEE Transactions on Medical Imaging, 34(7):1460–1473, 2015.

The challenge is also featured on http://www.cardiacatlas.org/challenges/left-atrium-segmentation-challenge/

The data and code of the challenge have been made publicly available to serve as a benchmark for left atrial segmentation algorithms. Code is hosted on https://github.com/catactg/lasc

Feel free to contact us with any questions.

 

This fileset consists of results from algorithms evaluated during LASC'13. Included are the binary mask provided by the participant and the output files of lasc/code/lasc_benchmark.py in the code repository.

dm_body.csv: Dice metric of the LA body

dm_pvs.csv: Dice metric of the PVs

mask.mhd + mask.raw: Binary mask provided by segmentation algorithm

mesh.vtp: Surface mesh extracted from mask.mhd using marching cubes

s2s_body.csv: Surface-to-surface metric of the LA body

s2s_pvs.csv: Surface-to-surface metric of the PVs

std_gt2seg.vtp: Surface mesh with distance from GT to segmentation (as pointdata array)

std_mesh.vtp: Surface mesh after standardisation

std_seg2gt.vtp: Surface mesh with distance from segmentation to GT (as pointdata array)

std.mhd + std.zraw: Image representation of segmentation with labels copied from std_mesh.vtp

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