Left Atrial Segmentation Challenge 2013: MRI testing

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 20 MRI datasets for testing segmentation algorithms. Included are the ground truth segmentation and helper files for standardisation.

clippointid1.csv: PointID of clvein1.vtp at which to clip PV1

clippointid2.csv: PointID of clvein2.vtp at which to clip PV2

clippointid3.csv: PointID of clvein3.vtp at which to clip PV3

clippointid4.csv: PointID of clvein4.vtp at which to clip PV4

clvein1.vtp: Centerline of PV1

clvein2.vtp: Centerline of PV2

clvein3.vtp: Centerline of PV3

clvein4.vtp: Centerline of PV4

gt_noclip_mesh.vtp: Surface mesh extracted from gt_noclip.mhd

gt_noclip.mhd + gt_noclip.zraw: Labeled image representation of GT

gt_std_mesh.vtp: Surface mesh after standardisation

gt_std.mhd + gt_std.zraw: Image representation of GT with labels copied from gt_std_mesh.vtp

image.mhd + image.raw: Image to segment

mitralplane.csv: Point, normal, and insideout flag describing mitral plane location