Auto‐segmentation of thoraco‐abdominal organs in pediatric dynamic MRI
Motivated by applications in surgical planning for disorders such as TIS, adolescent idiopathic scoliosis, and early onset scoliosis, we have created an auto-segmentation system for thoraco-abdominal organs in dMRI acquisitions. This proposed setup copes with the challenges posed by low resolution, motion blur, inadequate contrast, and image intensity non-standardness in dMRI images quite well.
Authors
- Carina Lott
- Yusuf Akhtar (ORCID: https://orcid.org/0000-0002-1838-7325)
- Patrick J. Cahill (ORCID: https://orcid.org/0000-0002-7129-1007)
- Abigail Clark
- Yubing Tong (ORCID: https://orcid.org/0000-0002-2133-4910)
- Rachel M. Kogan
- Mostafa Alnoury (ORCID: https://orcid.org/0000-0002-2155-3451)
- Jayaram K. Udupa (ORCID: https://orcid.org/0000-0002-7361-2927)
- Dewey Odhner (ORCID: https://orcid.org/0000-0001-6124-8796)
- Jason B. Anari (ORCID: https://orcid.org/0000-0002-2190-6333)
- Mahdie Hosseini (ORCID: https://orcid.org/0000-0001-6979-3780)
- Drew A. Torigian (ORCID: https://orcid.org/0000-0001-8999-9735)
- Joseph M. McDonough
- Samarth Mannikeri
- Leihui Tong
- Caiyun Wu (ORCID: https://orcid.org/0000-0002-4351-7697)
- Tiange Liu (ORCID: https://orcid.org/0000-0003-4512-937X)
Institutions
- Boston University (US)
- Children's Hospital of Philadelphia (US)
- University of Pennsylvania (US)
- Vellore Institute of Technology University (IN)
- University of Science and Technology Beijing (CN)
Publication Details
- Journal
- Medical Physics
- Published
- 2025-11-01
- DOI
- https://doi.org/10.1002/mp.70104
- Citations
- 1
- Primary Topic
- Fetal and Pediatric Neurological Disorders
- Type
- article
- Field-Weighted Citation Impact
- 3.49
Funders
- National Institutes of Health