Published September 12, 2023 | Version 1
Dataset Open

Lung CT Deformable Image Registration Validation Dataset

Authors/Creators

  • 1. Duke University
  • 2. Memorial Sloan Kettering Cancer Center
  • 3. Washington University
  • 4. Duke Kunshan University

Description

This dataset contains 30 different cases of CT image pairs, with a high number of vessel bifurcation landmark pairs identified in each case. These landmarks can be used for deformable image registration (DIR) algorithm validation and quality assurance. Images are obtained from several publicly available image repositories as well as clinical scans from Barnes Jewish Hospital.

 

Guidelines for loading and visualizing data can be found on our Github at 

https://github.com/deshanyang/Lung-DIR-QA

 

If you use our dataset, please cite the paper at 

https://doi.org/10.1002/mp.17026

Notes

Funding received as part of NIH grant R01-EB029431

Files

lung_landmarks.zip

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