Published January 15, 2025
| Version v1
Dataset
Open
Abdominal CT Deformable Image Registration Validation Dataset
Authors/Creators
-
1.
Duke University
-
2.
Washington University in St. Louis School of Medicine
Description
This dataset contains 30 different cases of abdominal 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 in St. Louis Missouri.
Guidelines for loading and visualizing data can be found on our Github at
https://github.com/deshanyang/Abdominal-DIR-QA
We hope to publish the full description of the data in a paper in the coming months.
Files
matlab_format.zip
Files
(6.6 GB)
| Name | Size | Download all |
|---|---|---|
|
md5:466c2150a19c13f7b88569ba7306a2ca
|
3.6 GB | Preview Download |
|
md5:299cbbdff9d02a54a4b53fee4442ae40
|
3.0 GB | Preview Download |
Additional details
Related works
- Is variant form of
- Dataset: 10.5281/zenodo.13738577 (DOI)
- Dataset: 10.5281/zenodo.8200423 (DOI)
Funding
- National Institutes of Health
- Develop a large-scale library of comprehensive deformable image registration (DIR) benchmark datasets and an integrated framework for quantifying accuracy of patient-specific DIR results R01-EB029431
Dates
- Submitted
-
2024-12-10