Lung CT Deformable Image Registration Validation Dataset

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

Funding received as part of NIH grant R01-EB029431

Related Organizations

Memorial Sloan Kettering Cancer Center
United States
Duke Kunshan University
China (People's Republic of)
University of Mary
United States
Duke University
United States

Keywords

Medical Physics, Image Processing, Ground Truth, Deformable Image Registration, Lung, CT

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