Left Atrial Segmentation Challenge 2013: MRI testing
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
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