Left Atrial Segmentation Challenge 2013: MRI results

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本数据集关联2013年左心房分割挑战赛（Left Atrial Segmentation Challenge 2013，LASC'13）。LASC'13是与MICCAI'13同期举办的STACOM'13研讨会的组成部分。共有7个国际研究团队携11种算法参与了本次挑战赛。如需详细报告，请参阅：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. 从3D CT与MRI数据集分割左心房的算法基准测试. IEEE医学成像汇刊, 34(7):1460–1473, 2015. 本次挑战赛的相关信息亦可访问http://www.cardiacatlas.org/challenges/left-atrium-segmentation-challenge/ 查看。本次挑战赛的数据集与代码已公开，可作为左心房分割算法的基准测试集。代码托管于https://github.com/catactg/lasc。如有任何疑问，欢迎随时联系我们。本数据集包含LASC'13挑战赛中参评算法的评估结果。内容包含参赛者提交的二值掩码，以及代码仓库中lasc/code/lasc_benchmark.py生成的输出文件。 dm_body.csv：左心房体（Left Atrium body，LA body）的戴斯系数（Dice metric） dm_pvs.csv：肺静脉（Pulmonary Veins，PVs）掩码的戴斯系数 mask.mhd + mask.raw：分割算法提供的二值掩码 mesh.vtp：通过等值面提取（Marching Cubes，MC）算法从mask.mhd中提取的表面网格 s2s_body.csv：左心房体的面面对比度量（Surface-to-surface metric） s2s_pvs.csv：肺静脉掩码的面面对比度量 std_gt2seg.vtp：带有从真值（Ground Truth，GT）到分割结果的距离数据（以点数据数组形式存储）的表面网格 std_mesh.vtp：经过标准化处理的表面网格 std_seg2gt.vtp：带有从分割结果到真值的距离数据（以点数据数组形式存储）的表面网格 std.mhd + std.zraw：将std_mesh.vtp中的标签复制后得到的分割结果图像表示