Datasets:


The challenge is subdivided into 3 tasks:

  1. CT-MR thorax-abdomen intra-patient registration
  2. CT lung inspiration-expiration registration
  3.  MR whole brain


Task 1: CT-MR thorax-abdomen intra-patient registration



Training/Validation: Download

Size: 30 CT-MR scan pairs (10 Training, 20 Test) + unpaired CT/MR scans 

Source: TCIA

Challenge: Multimodal registration. Learning from few/noisy annotations. Learning with domain gaps.

Annotation on training data: Manual and automatic segmentations of different organs.

Annotation on test data: Manual segmentations of different organs.

Citation: tbd


Task 2: CT lung inspiration-expiration registration


Training/Validation: Download

Size: 30 3D volumes (20 Training + 10 Test)

Source:   Department of Radiology at the Radboud University Medical Center, Nijmegen, The Netherlands.

Challenges:  Estimating large breathing motion. The lungs are not fully visible in the expiration scans.

Annotation on training data: automatic lung segmentation + keypoints

Annotation on test data: manual landmarks

Citation:  Hering, Alessa, Murphy, Keelin, & van Ginneken, Bram. (2020). Learn2Reg Challenge: CT Lung Registration - Training Data [Data set]. Zenodo. http://doi.org/10.5281/zenodo.3835682;
Hering, Alessa, Murphy, Keelin, & van Ginneken, Bram. (2020). Learn2Reg Challenge: CT Lung Registration - Test Data [Data set]. Zenodo.
http://doi.org/10.5281/zenodo.4048761


Task 3: MR whole brain

Training/Validation: Download

Size: 

Source:

Challenge:

Annotation on training data:

Annotation on test data:

Citation:

Detailed Description: