Multi-contrast computed tomography atlas of healthy pancreas with dense displacement sampling registration
We introduce a high-resolution pancreas atlas framework to generalize healthy biomarkers across populations with multi-contrast abdominal CT. The atlases and the associated pancreas organ labels are publicly available through the Human Biomolecular Atlas Program (HuBMAP).
Authors
- Qi Yang (ORCID: https://orcid.org/0000-0003-0530-0515)
- Yinchi Zhou
- Yucheng Tang (ORCID: https://orcid.org/0000-0002-6008-9700)
- Shunxing Bao (ORCID: https://orcid.org/0000-0001-6376-4292)
- Ho Hin Lee (ORCID: https://orcid.org/0000-0002-7378-2379)
- Lucas W. Remedios
- Jeffrey M. Spraggins (ORCID: https://orcid.org/0000-0001-9198-5498)
- Michael E. Kim (ORCID: https://orcid.org/0009-0006-3562-2688)
- Yuankai Huo (ORCID: https://orcid.org/0000-0002-2096-8065)
- Bennett A. Landman (ORCID: https://orcid.org/0000-0001-5733-2127)
- Xin Yu (ORCID: https://orcid.org/0000-0001-8996-0267)
Institutions
- Vanderbilt University (US)
- Nvidia (United States) (US)
Publication Details
- Journal
- Journal of Medical Imaging
- Published
- 2025-04-17
- DOI
- https://doi.org/10.1117/1.jmi.12.2.024006
- Citations
- 1
- Primary Topic
- Medical Imaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 1.36
Funders
- National Science Foundation
- Patient-Centered Outcomes Research Institute
- Vanderbilt University
- Vanderbilt Institute for Clinical and Translational Research
- Vanderbilt University Medical Center
- Georgia Clinical and Translational Science Alliance
- National Institutes of Health
- National Center for Advancing Translational Sciences
- Common Fund