Introducing ARONG, A 3D Reconstruction Method for Highly Deformed Histology
higher Jaccard index. We also validated this pipeline with two human FaDu xenograft tumors, three murine hearts, and two murine carotid arteries sectioned at different intervals, with comparable or improved metrics compared to CODA and other relevant 3D reconstruction methods.
Authors
- Kevin W. Eliceiri (ORCID: https://orcid.org/0000-0001-8678-670X)
- Rashid Al Mukaddim (ORCID: https://orcid.org/0000-0001-7042-7163)
- Stephanie M. Wilbrand (ORCID: https://orcid.org/0000-0002-4610-1937)
- Yuming Liu (ORCID: https://orcid.org/0009-0001-4053-1733)
- Robert J. Dempsey (ORCID: https://orcid.org/0000-0002-1636-5456)
- Shahriar Salamat
- Tomy Varghese (ORCID: https://orcid.org/0000-0003-3299-9130)
- Randall J. Kimple (ORCID: https://orcid.org/0000-0001-8336-8000)
- Maxwell Kiernan (ORCID: https://orcid.org/0009-0007-7897-1201)
- Tenzin Ngawang
- Kwangok P. Nickel
- Yurim Lee (ORCID: https://orcid.org/0000-0002-8362-4227)
- Viktor Mitchell
- Melissa Graham
Institutions
- University of Wisconsin–Madison (US)
- Morgridge Institute for Research (US)
- University of Wisconsin Carbone Cancer Center (US)
- Wisconsin Division of Public Health (US)
- Neurological Surgery (US)
Publication Details
- Journal
- Journal of Imaging Informatics in Medicine
- Published
- 2026-03-31
- DOI
- https://doi.org/10.1007/s10278-026-01905-3
- Primary Topic
- Anatomy and Medical Technology
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Institutes of Health